Overview

Brought to you by YData

Dataset statistics

Number of variables109
Number of observations3845
Missing cells54130
Missing cells (%)12.9%
Total size in memory3.2 MiB
Average record size in memory872.0 B

Variable types

Text1
Numeric108

Alerts

Investimentos em Capital Fixo has 1724 (44.8%) missing valuesMissing
Ajustes: has 1724 (44.8%) missing valuesMissing
Amortização e Quotas de Exaustão has 1724 (44.8%) missing valuesMissing
Ativos de Direito de Uso has 2158 (56.1%) missing valuesMissing
Aumento/Diminuição Líquido de Caixa e Equivalentes de Caixa Antes do Efeito das Diferenças de Conversão de Moeda Estrangeira has 1724 (44.8%) missing valuesMissing
Caixa Gerado por Atividades Principais (+) has 1724 (44.8%) missing valuesMissing
Caixa no Final do Período has 1724 (44.8%) missing valuesMissing
Despesas de Atividades de Investimento (-) has 1724 (44.8%) missing valuesMissing
Efeito das Diferenças de Conversão de Moeda Estrangeira sobre o Caixa e Equivalentes de Caixa has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa Livre has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa Líquido das Atividades Operacionais has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa das Atividades de Financiamento has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa das Atividades de Investimento has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa de Outras Atividades Operacionais has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa de Outras Atividades de Financiamento has 1724 (44.8%) missing valuesMissing
Fluxo de Caixa de Outras Atividades de Investimento has 1724 (44.8%) missing valuesMissing
Lucro Antes dos Ajustes has 1724 (44.8%) missing valuesMissing
Lucro Operacional Antes das Mudanças no Capital de Giro (+) has 1724 (44.8%) missing valuesMissing
Lucro/Prejuízo Operacional Antes das Despesas Financeiras has 2158 (56.1%) missing valuesMissing
Mudança nas Provisões has 1724 (44.8%) missing valuesMissing
Mudanças no Capital de Giro has 1724 (44.8%) missing valuesMissing
Outras Receitas/Despesas has 1724 (44.8%) missing valuesMissing
Pagamento de Dividendos has 1724 (44.8%) missing valuesMissing
Passivos de Contratos com Clientes has 2158 (56.1%) missing valuesMissing
Posição Cambial Líquida (Incluindo Hedge) has 1123 (29.2%) missing valuesMissing
Posição Líquida (Ativo/Passivo) Monetária em Moeda Estrangeira has 1123 (29.2%) missing valuesMissing
Receitas Diferidas (Exceto Passivos de Contratos com Clientes) has 2158 (56.1%) missing valuesMissing
Receitas de Atividades de Investimento has 1724 (44.8%) missing valuesMissing
Valores de Caixa no Início do Período has 1724 (44.8%) missing valuesMissing
Variação nas Dívidas Financeiras has 1724 (44.8%) missing valuesMissing
Variação no Caixa e Equivalentes has 1724 (44.8%) missing valuesMissing
(Subtotal) is highly skewed (γ1 = 24.02824909)Skewed
Ajustes: is highly skewed (γ1 = 21.85178985)Skewed
Ativo Fiscal Diferido is highly skewed (γ1 = 20.3156243)Skewed
Ativos Circulantes is highly skewed (γ1 = 24.0654995)Skewed
Ativos Não Circulantes Mantidos para Venda is highly skewed (γ1 = 42.70392612)Skewed
Ativos de Direito de Uso is highly skewed (γ1 = 21.65526966)Skewed
Aumento/Diminuição Líquido de Caixa e Equivalentes de Caixa Antes do Efeito das Diferenças de Conversão de Moeda Estrangeira is highly skewed (γ1 = 22.37474426)Skewed
Caixa Gerado por Atividades Principais (+) is highly skewed (γ1 = 21.90823906)Skewed
Caixa e Equivalentes de Caixa is highly skewed (γ1 = 21.92670069)Skewed
Caixa no Final do Período is highly skewed (γ1 = 21.55762658)Skewed
Capital Social Integralizado is highly skewed (γ1 = 27.35475119)Skewed
Despesas Financeiras is highly skewed (γ1 = -20.74447806)Skewed
Despesas Financeiras (Não Operacionais) (-) is highly skewed (γ1 = -20.74455987)Skewed
Despesas Gerais e Administrativas (-) is highly skewed (γ1 = -23.86486615)Skewed
Despesas de Amortização is highly skewed (γ1 = 61.97080411)Skewed
Despesas de Atividades de Investimento (-) is highly skewed (γ1 = -26.64248871)Skewed
Dívidas Financeiras is highly skewed (γ1 = 20.60263944)Skewed
Fluxo de Caixa Líquido das Atividades Operacionais is highly skewed (γ1 = 21.99772849)Skewed
Goodwill is highly skewed (γ1 = 21.84049292)Skewed
Investimentos Financeiros is highly skewed (γ1 = 23.24919179)Skewed
LUCRO BRUTO (PREJUÍZO) is highly skewed (γ1 = 20.4141976)Skewed
LUCRO OPERACIONAL (PREJUÍZO) is highly skewed (γ1 = 22.51204783)Skewed
Lucro (Prejuízo) do Período Após Imposto das Operações Descontinuadas is highly skewed (γ1 = 48.48568288)Skewed
Lucro por Ação is highly skewed (γ1 = -32.96937575)Skewed
Lucro por Ação Diluído is highly skewed (γ1 = -36.79122009)Skewed
Lucro por Ação Diluído de Operações Continuadas is highly skewed (γ1 = -36.82756653)Skewed
Lucro por Ação de Operações Continuadas is highly skewed (γ1 = -35.63608436)Skewed
Lucro/Prejuízo Operacional Líquido is highly skewed (γ1 = 25.10752931)Skewed
Obrigações Fiscais sobre o Lucro do Período is highly skewed (γ1 = 27.45252219)Skewed
Outras Dívidas is highly skewed (γ1 = 23.06537078)Skewed
Outras Receitas e Despesas Antes do Imposto is highly skewed (γ1 = 26.84029969)Skewed
Outros Ativos Circulantes is highly skewed (γ1 = 25.67452911)Skewed
Outros Passivos Circulantes is highly skewed (γ1 = 31.4313629)Skewed
Outros Recebíveis is highly skewed (γ1 = 21.47109143)Skewed
Participação nos Lucros/Prejuízos de Investimentos Avaliados pelo Método da Equivalência Patrimonial is highly skewed (γ1 = 26.52330964)Skewed
Participações de Não Controladores is highly skewed (γ1 = 22.54167301)Skewed
Passivos Circulantes is highly skewed (γ1 = 23.9890039)Skewed
Posição Líquida (Ativo/Passivo) Monetária em Moeda Estrangeira is highly skewed (γ1 = -35.10855216)Skewed
Provisões de Longo Prazo is highly skewed (γ1 = 20.6726533)Skewed
Provisões para Dívidas is highly skewed (γ1 = 26.47811456)Skewed
Receita (Despesa) de Imposto Diferido is highly skewed (γ1 = 33.12878655)Skewed
Receita (Despesa) de Imposto do Período is highly skewed (γ1 = -24.32800688)Skewed
Receitas Diferidas (Exceto Passivos de Contratos com Clientes) is highly skewed (γ1 = 22.8534114)Skewed
Receitas Financeiras (Não Operacionais) is highly skewed (γ1 = 20.29484173)Skewed
Receitas de Atividades de Investimento is highly skewed (γ1 = 20.1890992)Skewed
Reservas de Capital de Emissão de Ações is highly skewed (γ1 = 20.82019541)Skewed
TOTAL DE ATIVOS is highly skewed (γ1 = 21.75491371)Skewed
TOTAL DO PASSIVO E PATRIMÔNICO LÍQUIDO is highly skewed (γ1 = 21.75491371)Skewed
Valores de Caixa no Início do Período is highly skewed (γ1 = 22.0463862)Skewed
Variação no Caixa e Equivalentes is highly skewed (γ1 = 27.76835988)Skewed
Vendas Domésticas is highly skewed (γ1 = 20.84741864)Skewed
Investimentos em Capital Fixo has 102 (2.7%) zerosZeros
Ajuste de Capital de Participação Mútua (-) has 3456 (89.9%) zerosZeros
Amortização e Quotas de Exaustão has 78 (2.0%) zerosZeros
Ativo Fiscal Diferido has 1630 (42.4%) zerosZeros
Ativos Imobilizados has 86 (2.2%) zerosZeros
Ativos Intangíveis has 338 (8.8%) zerosZeros
Ativos Não Circulantes Mantidos para Venda has 3395 (88.3%) zerosZeros
Ativos de Direito de Uso has 755 (19.6%) zerosZeros
Contas a Receber has 164 (4.3%) zerosZeros
Custo dos Produtos/Serviços Vendidos (-) has 148 (3.8%) zerosZeros
Despesas Financeiras has 220 (5.7%) zerosZeros
Despesas Financeiras (Não Operacionais) (-) has 210 (5.5%) zerosZeros
Despesas de Amortização has 63 (1.6%) zerosZeros
Despesas de Atividades de Investimento (-) has 1101 (28.6%) zerosZeros
Despesas de Marketing, Vendas e Distribuição (-) has 551 (14.3%) zerosZeros
Despesas de Pesquisa e Desenvolvimento (-) has 2430 (63.2%) zerosZeros
Diferenças de Conversão de Moeda Estrangeira has 2748 (71.5%) zerosZeros
Dívidas Financeiras has 589 (15.3%) zerosZeros
Efeito das Diferenças de Conversão de Moeda Estrangeira sobre o Caixa e Equivalentes de Caixa has 1190 (30.9%) zerosZeros
Estoques has 562 (14.6%) zerosZeros
Fluxo de Caixa das Atividades de Financiamento has 83 (2.2%) zerosZeros
Fluxo de Caixa das Atividades de Investimento has 46 (1.2%) zerosZeros
Fluxo de Caixa de Outras Atividades Operacionais has 219 (5.7%) zerosZeros
Fluxo de Caixa de Outras Atividades de Financiamento has 328 (8.5%) zerosZeros
Fluxo de Caixa de Outras Atividades de Investimento has 615 (16.0%) zerosZeros
Fundos de Reavaliação / Valorização has 3403 (88.5%) zerosZeros
Goodwill has 2938 (76.4%) zerosZeros
Imóveis de Investimento has 2215 (57.6%) zerosZeros
Indenização por Antiguidade has 82 (2.1%) zerosZeros
Investimentos Avaliados pelo Método da Equivalência Patrimonial has 2753 (71.6%) zerosZeros
Investimentos Financeiros has 1182 (30.7%) zerosZeros
LUCRO BRUTO (PREJUÍZO) has 77 (2.0%) zerosZeros
Lucro (Prejuízo) do Período Após Imposto das Operações Descontinuadas has 3584 (93.2%) zerosZeros
Lucro Antes dos Ajustes has 49 (1.3%) zerosZeros
Lucro Bruto (Prejuízo) de Atividades Comerciais has 99 (2.6%) zerosZeros
Lucro por Ação has 2593 (67.4%) zerosZeros
Lucro por Ação Diluído has 3215 (83.6%) zerosZeros
Lucro por Ação Diluído de Operações Continuadas has 3265 (84.9%) zerosZeros
Lucro por Ação de Operações Continuadas has 3149 (81.9%) zerosZeros
Mudança nas Provisões has 61 (1.6%) zerosZeros
Obrigações Fiscais sobre o Lucro do Período has 1926 (50.1%) zerosZeros
Outras Despesas Operacionais (-) has 159 (4.1%) zerosZeros
Outras Dívidas has 312 (8.1%) zerosZeros
Outras Obrigações Financeiras has 3353 (87.2%) zerosZeros
Outras Receitas Operacionais has 94 (2.4%) zerosZeros
Outras Receitas e Despesas Antes do Imposto has 1627 (42.3%) zerosZeros
Outros Ativos Não Circulantes has 1079 (28.1%) zerosZeros
Outros Itens do Patrimônio Líquido has 319 (8.3%) zerosZeros
Outros Passivos Circulantes has 187 (4.9%) zerosZeros
Outros Passivos Não Circulantes has 2792 (72.6%) zerosZeros
Outros Recebíveis has 167 (4.3%) zerosZeros
Pagamento de Dividendos has 1302 (33.9%) zerosZeros
Participação nos Lucros/Prejuízos de Investimentos Avaliados pelo Método da Equivalência Patrimonial has 2686 (69.9%) zerosZeros
Participações de Não Controladores has 2202 (57.3%) zerosZeros
Passivo Fiscal Diferido has 1665 (43.3%) zerosZeros
Passivos de Contratos com Clientes has 1505 (39.1%) zerosZeros
Posição Cambial Líquida has 335 (8.7%) zerosZeros
Posição Cambial Líquida (Incluindo Hedge) has 235 (6.1%) zerosZeros
Posição Líquida (Ativo/Passivo) Monetária em Moeda Estrangeira has 246 (6.4%) zerosZeros
Provisões de Longo Prazo has 1067 (27.8%) zerosZeros
Provisões para Benefícios a Empregados has 2729 (71.0%) zerosZeros
Provisões para Dívidas has 547 (14.2%) zerosZeros
Receita (Despesa) de Imposto Diferido has 561 (14.6%) zerosZeros
Receita (Despesa) de Imposto das Operações Continuadas has 513 (13.3%) zerosZeros
Receita (Despesa) de Imposto do Período has 1414 (36.8%) zerosZeros
Receita de Vendas has 98 (2.5%) zerosZeros
Receitas Diferidas (Exceto Passivos de Contratos com Clientes) has 446 (11.6%) zerosZeros
Receitas Financeiras (Não Operacionais) has 793 (20.6%) zerosZeros
Receitas de Atividades de Investimento has 435 (11.3%) zerosZeros
Reservas Restritas Separadas do Lucro has 204 (5.3%) zerosZeros
Reservas de Capital de Emissão de Ações has 2224 (57.8%) zerosZeros
Variação nas Dívidas Financeiras has 367 (9.5%) zerosZeros
Vendas Domésticas has 1049 (27.3%) zerosZeros
Vendas Internacionais has 1429 (37.2%) zerosZeros

Reproduction

Analysis started2025-10-23 16:24:41.138592
Analysis finished2025-10-23 16:24:41.891300
Duration0.75 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

Distinct227
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:42.334764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.911573472
Min length4

Characters and Unicode

Total characters18885
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowADEL
2nd rowADEL
3rd rowADEL
4th rowADEL
5th rowADEL
ValueCountFrequency (%)
adel17
 
0.4%
aefes17
 
0.4%
afyon17
 
0.4%
aghol17
 
0.4%
agyo17
 
0.4%
akcns17
 
0.4%
akenr17
 
0.4%
akmgy17
 
0.4%
aksa17
 
0.4%
aksue17
 
0.4%
Other values (217)3675
95.6%
2025-10-23T13:24:42.667518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A1933
 
10.2%
E1506
 
8.0%
S1492
 
7.9%
O1300
 
6.9%
R1269
 
6.7%
K1204
 
6.4%
T1153
 
6.1%
G914
 
4.8%
L913
 
4.8%
N883
 
4.7%
Other values (13)6318
33.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)18885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A1933
 
10.2%
E1506
 
8.0%
S1492
 
7.9%
O1300
 
6.9%
R1269
 
6.7%
K1204
 
6.4%
T1153
 
6.1%
G914
 
4.8%
L913
 
4.8%
N883
 
4.7%
Other values (13)6318
33.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)18885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A1933
 
10.2%
E1506
 
8.0%
S1492
 
7.9%
O1300
 
6.9%
R1269
 
6.7%
K1204
 
6.4%
T1153
 
6.1%
G914
 
4.8%
L913
 
4.8%
N883
 
4.7%
Other values (13)6318
33.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)18885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A1933
 
10.2%
E1506
 
8.0%
S1492
 
7.9%
O1300
 
6.9%
R1269
 
6.7%
K1204
 
6.4%
T1153
 
6.1%
G914
 
4.8%
L913
 
4.8%
N883
 
4.7%
Other values (13)6318
33.5%

Ano
Real number (ℝ)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.986996
Minimum2008
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:42.748841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2008
Q12012
median2016
Q32020
95-th percentile2024
Maximum2024
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.885508893
Coefficient of variation (CV)0.002423383138
Kurtosis-1.205639016
Mean2015.986996
Median Absolute Deviation (MAD)4
Skewness0.0003779094751
Sum7751470
Variance23.86819714
MonotonicityNot monotonic
2025-10-23T13:24:42.838903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2010227
 
5.9%
2021227
 
5.9%
2011227
 
5.9%
2012227
 
5.9%
2013227
 
5.9%
2015227
 
5.9%
2014227
 
5.9%
2016227
 
5.9%
2017227
 
5.9%
2023227
 
5.9%
Other values (7)1575
41.0%
ValueCountFrequency (%)
2008225
5.9%
2009225
5.9%
2010227
5.9%
2011227
5.9%
2012227
5.9%
ValueCountFrequency (%)
2024217
5.6%
2023227
5.9%
2022227
5.9%
2021227
5.9%
2020227
5.9%

Investimentos em Capital Fixo
Real number (ℝ)

Missing  Zeros 

Distinct1996
Distinct (%)94.1%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-876503557.8
Minimum-7.6092 × 1010
Maximum2568003128
Zeros102
Zeros (%)2.7%
Negative1874
Negative (%)48.7%
Memory size30.2 KiB
2025-10-23T13:24:42.959586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7.6092 × 1010
5-th percentile-3439045000
Q1-218844516
median-22947559
Q3-787116
95-th percentile614121
Maximum2568003128
Range7.866000313 × 1010
Interquartile range (IQR)218057400

Descriptive statistics

Standard deviation4310680203
Coefficient of variation (CV)-4.918040736
Kurtosis113.9018994
Mean-876503557.8
Median Absolute Deviation (MAD)22947559
Skewness-9.533263565
Sum-1.859064046 × 1012
Variance1.858196381 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:43.104911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0102
 
2.7%
89091582
 
0.1%
-5077150002
 
0.1%
-1094670312
 
0.1%
-43576202
 
0.1%
-105082
 
0.1%
-2532018872
 
0.1%
-1898980002
 
0.1%
-29992
 
0.1%
-741559312
 
0.1%
Other values (1986)2001
52.0%
(Missing)1724
44.8%
ValueCountFrequency (%)
-7.6092 × 10101
< 0.1%
-6.9037 × 10101
< 0.1%
-4.9021691 × 10101
< 0.1%
-4.5010424 × 10101
< 0.1%
-4.3499 × 10101
< 0.1%
ValueCountFrequency (%)
25680031281
< 0.1%
9764780001
< 0.1%
9473643431
< 0.1%
8202077791
< 0.1%
8044574791
< 0.1%

(Subtotal)
Real number (ℝ)

Skewed 

Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7410827160
Minimum155773
Maximum2.576004 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:43.229614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum155773
5-th percentile5700278.05
Q147378040.5
median195926998.5
Q31115353220
95-th percentile1.421176335 × 1010
Maximum2.576004 × 1012
Range2.576003844 × 1012
Interquartile range (IQR)1067975180

Descriptive statistics

Standard deviation8.599257307 × 1010
Coefficient of variation (CV)11.60364035
Kurtosis624.7930918
Mean7410827160
Median Absolute Deviation (MAD)183577656.5
Skewness24.02824909
Sum2.847980877 × 1013
Variance7.394722624 × 1021
MonotonicityNot monotonic
2025-10-23T13:24:43.358370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185874002
 
0.1%
352484162
 
0.1%
269016169.52
 
0.1%
5085258.52
 
0.1%
100792105.52
 
0.1%
67146660.52
 
0.1%
501488112
 
0.1%
3187873572
 
0.1%
1096138352
 
0.1%
923857742
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
1557732
0.1%
2378931
< 0.1%
2927071
< 0.1%
327397.51
< 0.1%
369796.51
< 0.1%
ValueCountFrequency (%)
2.576004 × 10121
< 0.1%
2.4716685 × 10121
< 0.1%
2.114216355 × 10121
< 0.1%
2.086111174 × 10121
< 0.1%
1.7613975 × 10121
< 0.1%
Distinct189
Distinct (%)4.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-1092212.191
Minimum-986010359
Maximum1344243000
Zeros3456
Zeros (%)89.9%
Negative300
Negative (%)7.8%
Memory size30.2 KiB
2025-10-23T13:24:43.476890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-986010359
5-th percentile-3474696
Q10
median0
Q30
95-th percentile0
Maximum1344243000
Range2330253359
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49909955.84
Coefficient of variation (CV)-45.69620835
Kurtosis435.571195
Mean-1092212.191
Median Absolute Deviation (MAD)0
Skewness8.879383705
Sum-4197371450
Variance2.491003692 × 1015
MonotonicityNot monotonic
2025-10-23T13:24:43.604199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03456
89.9%
-7122014
 
0.4%
-744200012
 
0.3%
-338100011
 
0.3%
-17845538
 
0.2%
-330424388
 
0.2%
-67873067
 
0.2%
-7873967
 
0.2%
-2995986
 
0.2%
-228509166
 
0.2%
Other values (179)308
 
8.0%
ValueCountFrequency (%)
-9860103591
< 0.1%
-9651998151
< 0.1%
-5732325031
< 0.1%
-4481370001
< 0.1%
-4192380001
< 0.1%
ValueCountFrequency (%)
13442430002
0.1%
11238080321
< 0.1%
6883150001
< 0.1%
2776129612
0.1%
1491047391
< 0.1%

Ajustes:
Real number (ℝ)

Missing  Skewed 

Distinct2102
Distinct (%)99.1%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean1039266675
Minimum-7.5318102 × 1010
Maximum2.95547 × 1011
Zeros2
Zeros (%)0.1%
Negative524
Negative (%)13.6%
Memory size30.2 KiB
2025-10-23T13:24:43.720414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7.5318102 × 1010
5-th percentile-570912012
Q134199
median46003000
Q3332284000
95-th percentile4331297000
Maximum2.95547 × 1011
Range3.70865102 × 1011
Interquartile range (IQR)332249801

Descriptive statistics

Standard deviation9050597789
Coefficient of variation (CV)8.708638511
Kurtosis641.9000674
Mean1039266675
Median Absolute Deviation (MAD)90499990
Skewness21.85178985
Sum2.204284618 × 1012
Variance8.191332033 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:43.844216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206716432
 
0.1%
1435342522
 
0.1%
7290480002
 
0.1%
2206990002
 
0.1%
20010852
 
0.1%
2061765342
 
0.1%
456360002
 
0.1%
1770330002
 
0.1%
-149487332
 
0.1%
2393290002
 
0.1%
Other values (2092)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-7.5318102 × 10101
< 0.1%
-2.1235 × 10101
< 0.1%
-1.738713026 × 10101
< 0.1%
-1.5551549 × 10101
< 0.1%
-1.2605349 × 10101
< 0.1%
ValueCountFrequency (%)
2.95547 × 10111
< 0.1%
1.97998 × 10111
< 0.1%
7.5176 × 10101
< 0.1%
5.9320239 × 10101
< 0.1%
5.7076769 × 10101
< 0.1%

Amortização e Quotas de Exaustão
Real number (ℝ)

Missing  Zeros 

Distinct2019
Distinct (%)95.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean691663895.3
Minimum-487923625
Maximum7.2306 × 1010
Zeros78
Zeros (%)2.0%
Negative9
Negative (%)0.2%
Memory size30.2 KiB
2025-10-23T13:24:43.967047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-487923625
5-th percentile4028
Q12029766
median21570757
Q3157820873
95-th percentile2163085000
Maximum7.2306 × 1010
Range7.279392362 × 1010
Interquartile range (IQR)155791107

Descriptive statistics

Standard deviation3798636025
Coefficient of variation (CV)5.492025896
Kurtosis153.2943762
Mean691663895.3
Median Absolute Deviation (MAD)21521845
Skewness11.33397655
Sum1.467019122 × 1012
Variance1.442963565 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:44.092582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
078
 
2.0%
8873
 
0.1%
13670962
 
0.1%
14628392
 
0.1%
305510002
 
0.1%
16435922
 
0.1%
785066152
 
0.1%
363072
 
0.1%
61548332
 
0.1%
433130002
 
0.1%
Other values (2009)2024
52.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-4879236251
< 0.1%
-4519338981
< 0.1%
-1004301511
< 0.1%
-265349691
< 0.1%
-30670461
< 0.1%
ValueCountFrequency (%)
7.2306 × 10101
< 0.1%
5.8268 × 10101
< 0.1%
5.1221356 × 10101
< 0.1%
4.8474 × 10101
< 0.1%
4.8319453 × 10101
< 0.1%

Ativo Fiscal Diferido
Real number (ℝ)

Skewed  Zeros 

Distinct1949
Distinct (%)50.7%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean194482998.6
Minimum0
Maximum5.4215508 × 1010
Zeros1630
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:44.215584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median516323
Q313026957.5
95-th percentile408610900
Maximum5.4215508 × 1010
Range5.4215508 × 1010
Interquartile range (IQR)13026957.5

Descriptive statistics

Standard deviation1749518539
Coefficient of variation (CV)8.995740253
Kurtosis523.3930719
Mean194482998.6
Median Absolute Deviation (MAD)516323
Skewness20.3156243
Sum7.473981635 × 1011
Variance3.060815118 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:44.352763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01630
42.4%
7871274
 
0.1%
2444672
 
0.1%
16668802
 
0.1%
18889252
 
0.1%
203482942
 
0.1%
557482
 
0.1%
3066292
 
0.1%
222644372
 
0.1%
28496502
 
0.1%
Other values (1939)2193
57.0%
ValueCountFrequency (%)
01630
42.4%
4601
 
< 0.1%
16521
 
< 0.1%
16682
 
0.1%
18821
 
< 0.1%
ValueCountFrequency (%)
5.4215508 × 10101
< 0.1%
5.3074413 × 10101
< 0.1%
3.0398 × 10101
< 0.1%
2.9315 × 10101
< 0.1%
2.3029198 × 10101
< 0.1%

Ativos Circulantes
Real number (ℝ)

Skewed 

Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7376417136
Minimum4229
Maximum2.472313 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:44.472756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4229
5-th percentile6615735.3
Q154129506
median232459050
Q31283071731
95-th percentile1.57016694 × 1010
Maximum2.472313 × 1012
Range2.472312996 × 1012
Interquartile range (IQR)1228942225

Descriptive statistics

Standard deviation7.969364868 × 1010
Coefficient of variation (CV)10.80384246
Kurtosis636.5076674
Mean7376417136
Median Absolute Deviation (MAD)216814778
Skewness24.0654995
Sum2.834757105 × 1013
Variance6.351077639 × 1021
MonotonicityNot monotonic
2025-10-23T13:24:44.605474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148870172
 
0.1%
395676982
 
0.1%
2069191402
 
0.1%
75380272
 
0.1%
1398788352
 
0.1%
1032109362
 
0.1%
556784332
 
0.1%
3011314482
 
0.1%
1486942112
 
0.1%
1120249172
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
42292
0.1%
277381
< 0.1%
1053351
< 0.1%
1774431
< 0.1%
2274392
0.1%
ValueCountFrequency (%)
2.472313 × 10121
< 0.1%
2.338684 × 10121
< 0.1%
1.882773798 × 10121
< 0.1%
1.826050391 × 10121
< 0.1%
1.634866 × 10121
< 0.1%

Ativos Imobilizados
Real number (ℝ)

Zeros 

Distinct3304
Distinct (%)86.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2856224457
Minimum0
Maximum4.2586 × 1011
Zeros86
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:44.727085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12693
Q110017417.5
median98218516
Q3681412000
95-th percentile9782851000
Maximum4.2586 × 1011
Range4.2586 × 1011
Interquartile range (IQR)671394582.5

Descriptive statistics

Standard deviation1.601711406 × 1010
Coefficient of variation (CV)5.607792489
Kurtosis288.9328277
Mean2856224457
Median Absolute Deviation (MAD)98039019
Skewness14.56719676
Sum1.097647059 × 1013
Variance2.565479427 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:44.851008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
086
 
2.2%
111128234
 
0.1%
272166622
 
0.1%
366591742
 
0.1%
5893300002
 
0.1%
29082
 
0.1%
13350392
 
0.1%
1305325882
 
0.1%
609692
 
0.1%
147169402
 
0.1%
Other values (3294)3737
97.2%
ValueCountFrequency (%)
086
2.2%
532
 
0.1%
561
 
< 0.1%
701
 
< 0.1%
1101
 
< 0.1%
ValueCountFrequency (%)
4.2586 × 10111
< 0.1%
3.98275 × 10111
< 0.1%
2.55611 × 10111
< 0.1%
2.48909 × 10111
< 0.1%
2.26160555 × 10111
< 0.1%

Ativos Intangíveis
Real number (ℝ)

Zeros 

Distinct3067
Distinct (%)79.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean796670268.8
Minimum0
Maximum1.39304153 × 1011
Zeros338
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:44.975731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150749
median1087256
Q327452276.5
95-th percentile1509191853
Maximum1.39304153 × 1011
Range1.39304153 × 1011
Interquartile range (IQR)27401527.5

Descriptive statistics

Standard deviation6496142994
Coefficient of variation (CV)8.154117518
Kurtosis234.7137541
Mean796670268.8
Median Absolute Deviation (MAD)1087256
Skewness14.22697249
Sum3.061603843 × 1012
Variance4.21998738 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:45.103915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0338
 
8.8%
93613
 
0.1%
4203
 
0.1%
8152
 
0.1%
583420002
 
0.1%
893732
 
0.1%
2272
 
0.1%
47462
 
0.1%
1487572
 
0.1%
10963052
 
0.1%
Other values (3057)3485
90.6%
ValueCountFrequency (%)
0338
8.8%
71
 
< 0.1%
111
 
< 0.1%
151
 
< 0.1%
501
 
< 0.1%
ValueCountFrequency (%)
1.39304153 × 10111
< 0.1%
1.34929085 × 10111
< 0.1%
1.23728874 × 10111
< 0.1%
1.18204107 × 10111
< 0.1%
1.03453974 × 10111
< 0.1%

Ativos Não Circulantes
Real number (ℝ)

Distinct3367
Distinct (%)87.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8206309342
Minimum0
Maximum1.655431 × 1012
Zeros28
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:45.225674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile699171.4
Q151455237
median250983619
Q31517172022
95-th percentile2.25472385 × 1010
Maximum1.655431 × 1012
Range1.655431 × 1012
Interquartile range (IQR)1465716784

Descriptive statistics

Standard deviation6.226638141 × 1010
Coefficient of variation (CV)7.587622988
Kurtosis391.1718705
Mean8206309342
Median Absolute Deviation (MAD)242709938
Skewness18.23111323
Sum3.15368468 × 1013
Variance3.877102254 × 1021
MonotonicityNot monotonic
2025-10-23T13:24:45.351419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028
 
0.7%
1000988502
 
0.1%
9613575572
 
0.1%
338402542
 
0.1%
600046932
 
0.1%
1339406362
 
0.1%
38868992
 
0.1%
475475712
 
0.1%
411963892
 
0.1%
445337062
 
0.1%
Other values (3357)3797
98.8%
ValueCountFrequency (%)
028
0.7%
151
 
< 0.1%
701
 
< 0.1%
982
 
0.1%
1101
 
< 0.1%
ValueCountFrequency (%)
1.655431 × 10121
< 0.1%
1.569468 × 10121
< 0.1%
1.2824922 × 10121
< 0.1%
1.247628542 × 10121
< 0.1%
1.18245 × 10121
< 0.1%

Ativos Não Circulantes Mantidos para Venda
Real number (ℝ)

Skewed  Zeros 

Distinct357
Distinct (%)9.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean23364416.43
Minimum0
Maximum2.4697101 × 1010
Zeros3395
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:45.475937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15080482.6
Maximum2.4697101 × 1010
Range2.4697101 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation467401516.1
Coefficient of variation (CV)20.00484444
Kurtosis2104.591079
Mean23364416.43
Median Absolute Deviation (MAD)0
Skewness42.70392612
Sum8.978945233 × 1010
Variance2.184641772 × 1017
MonotonicityNot monotonic
2025-10-23T13:24:45.600492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03395
88.3%
8627515
 
0.1%
373610005
 
0.1%
261376974
 
0.1%
27722774
 
0.1%
207032453
 
0.1%
859493
 
0.1%
3120003
 
0.1%
4912003
 
0.1%
1990003
 
0.1%
Other values (347)415
 
10.8%
ValueCountFrequency (%)
03395
88.3%
3901
 
< 0.1%
3911
 
< 0.1%
3921
 
< 0.1%
18031
 
< 0.1%
ValueCountFrequency (%)
2.4697101 × 10101
< 0.1%
1.0092151 × 10101
< 0.1%
81600000001
< 0.1%
45128840001
< 0.1%
29227130001
< 0.1%

Ativos de Direito de Uso
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct927
Distinct (%)54.9%
Missing2158
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean1668559460
Minimum0
Maximum6.21795 × 1011
Zeros755
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:45.720966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median731055
Q338788674.5
95-th percentile999473297.1
Maximum6.21795 × 1011
Range6.21795 × 1011
Interquartile range (IQR)38788674.5

Descriptive statistics

Standard deviation2.232137085 × 1010
Coefficient of variation (CV)13.37762986
Kurtosis525.0676273
Mean1668559460
Median Absolute Deviation (MAD)731055
Skewness21.65526966
Sum2.814859808 × 1012
Variance4.982435966 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:45.845151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0755
 
19.6%
310341012
 
0.1%
10351032
 
0.1%
10227642
 
0.1%
17073042
 
0.1%
222823902
 
0.1%
45060002
 
0.1%
53710001
 
< 0.1%
22230001
 
< 0.1%
693380001
 
< 0.1%
Other values (917)917
23.8%
(Missing)2158
56.1%
ValueCountFrequency (%)
0755
19.6%
51451
 
< 0.1%
55411
 
< 0.1%
60501
 
< 0.1%
93801
 
< 0.1%
ValueCountFrequency (%)
6.21795 × 10111
< 0.1%
4.9831 × 10111
< 0.1%
3.09943 × 10111
< 0.1%
2.01381 × 10111
< 0.1%
1.532995483 × 10111
< 0.1%
Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean490246105.9
Minimum-5.5918 × 1010
Maximum2.25429 × 1011
Zeros0
Zeros (%)0.0%
Negative840
Negative (%)21.8%
Memory size30.2 KiB
2025-10-23T13:24:45.967249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.5918 × 1010
5-th percentile-582562195
Q1-7758727
median2612322
Q374406286
95-th percentile2069866000
Maximum2.25429 × 1011
Range2.81347 × 1011
Interquartile range (IQR)82165013

Descriptive statistics

Standard deviation6386799109
Coefficient of variation (CV)13.02774062
Kurtosis747.1764354
Mean490246105.9
Median Absolute Deviation (MAD)31417836
Skewness22.37474426
Sum1.039811991 × 1012
Variance4.079120286 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:46.088199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-29203112
 
0.1%
-8494602
 
0.1%
-5921280002
 
0.1%
208120002
 
0.1%
-19268152
 
0.1%
97055982
 
0.1%
-265920002
 
0.1%
564720002
 
0.1%
486985712
 
0.1%
9800300002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-5.5918 × 10101
< 0.1%
-3.4355052 × 10101
< 0.1%
-2.0536947 × 10101
< 0.1%
-1.8274474 × 10101
< 0.1%
-1.7906244 × 10101
< 0.1%
ValueCountFrequency (%)
2.25429 × 10111
< 0.1%
7.0223 × 10101
< 0.1%
6.2344 × 10101
< 0.1%
5.9126468 × 10101
< 0.1%
5.0457571 × 10101
< 0.1%

Caixa Gerado por Atividades Principais (+)
Real number (ℝ)

Missing  Skewed 

Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean2110251245
Minimum-6.6802148 × 1010
Maximum5.21107 × 1011
Zeros1
Zeros (%)< 0.1%
Negative507
Negative (%)13.2%
Memory size30.2 KiB
2025-10-23T13:24:46.203326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6.6802148 × 1010
5-th percentile-190963338
Q1263632
median53285000
Q3495393373
95-th percentile6790446000
Maximum5.21107 × 1011
Range5.87909148 × 1011
Interquartile range (IQR)495129741

Descriptive statistics

Standard deviation1.515132555 × 1010
Coefficient of variation (CV)7.179868075
Kurtosis674.8263165
Mean2110251245
Median Absolute Deviation (MAD)91811226
Skewness21.90823906
Sum4.475842891 × 1012
Variance2.295626658 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:46.320860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2583626862
 
0.1%
27778852
 
0.1%
3838850002
 
0.1%
6694120002
 
0.1%
-76392832
 
0.1%
83008242
 
0.1%
2199800002
 
0.1%
1841040002
 
0.1%
346309742
 
0.1%
387990002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-6.6802148 × 10101
< 0.1%
-4.014342 × 10101
< 0.1%
-84842410001
< 0.1%
-65683330001
< 0.1%
-58880180311
< 0.1%
ValueCountFrequency (%)
5.21107 × 10111
< 0.1%
1.87587 × 10111
< 0.1%
1.44784 × 10111
< 0.1%
1.38373973 × 10111
< 0.1%
1.37443 × 10111
< 0.1%

Caixa e Equivalentes de Caixa
Real number (ℝ)

Skewed 

Distinct3389
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1499764213
Minimum0
Maximum4.1784 × 1011
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:46.442779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile107462.3
Q13362935
median26415870
Q3209085932.5
95-th percentile4627240600
Maximum4.1784 × 1011
Range4.1784 × 1011
Interquartile range (IQR)205722997.5

Descriptive statistics

Standard deviation1.158958968 × 1010
Coefficient of variation (CV)7.727607836
Kurtosis634.1582181
Mean1499764213
Median Absolute Deviation (MAD)26028590
Skewness21.92670069
Sum5.76359387 × 1012
Variance1.34318589 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:46.565645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
0.1%
11407422
 
0.1%
7545842
 
0.1%
1730540002
 
0.1%
35366662
 
0.1%
6901750002
 
0.1%
545682252
 
0.1%
675678612
 
0.1%
317815862
 
0.1%
4054930002
 
0.1%
Other values (3379)3821
99.4%
ValueCountFrequency (%)
04
0.1%
612
0.1%
3691
 
< 0.1%
5372
0.1%
5492
0.1%
ValueCountFrequency (%)
4.1784 × 10111
< 0.1%
3.07172 × 10111
< 0.1%
2.49825 × 10111
< 0.1%
1.40512161 × 10111
< 0.1%
1.3781275 × 10111
< 0.1%

Caixa no Final do Período
Real number (ℝ)

Missing  Skewed 

Distinct2102
Distinct (%)99.1%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean2739088279
Minimum369
Maximum6.31689 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:46.679674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile143233
Q18596192
median61657966
Q3546919000
95-th percentile8385259840
Maximum6.31689 × 1011
Range6.316889996 × 1011
Interquartile range (IQR)538322808

Descriptive statistics

Standard deviation2.11657392 × 1010
Coefficient of variation (CV)7.727293553
Kurtosis554.9244347
Mean2739088279
Median Absolute Deviation (MAD)60990393
Skewness21.55762658
Sum5.80960624 × 1012
Variance4.479885158 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:46.800722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170130112
 
0.1%
79681002
 
0.1%
12657260002
 
0.1%
4031880002
 
0.1%
822460002
 
0.1%
28654162
 
0.1%
1556893832
 
0.1%
11871520002
 
0.1%
564470002
 
0.1%
255725832
 
0.1%
Other values (2092)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
3691
< 0.1%
6051
< 0.1%
11551
< 0.1%
17621
< 0.1%
22291
< 0.1%
ValueCountFrequency (%)
6.31689 × 10111
< 0.1%
5.03859 × 10111
< 0.1%
3.57224 × 10111
< 0.1%
1.44718 × 10111
< 0.1%
1.24223998 × 10111
< 0.1%

Capital Social Integralizado
Real number (ℝ)

Skewed 

Distinct604
Distinct (%)15.7%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean282210877.8
Minimum120000
Maximum4.3815615 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:46.924718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum120000
5-th percentile5220000
Q123750000
median75000000
Q3239500165.5
95-th percentile1195979344
Maximum4.3815615 × 1010
Range4.3815495 × 1010
Interquartile range (IQR)215750165.5

Descriptive statistics

Standard deviation939943746.6
Coefficient of variation (CV)3.33064322
Kurtosis1203.639577
Mean282210877.8
Median Absolute Deviation (MAD)65000000
Skewness27.35475119
Sum1.084536403 × 1012
Variance8.834942468 × 1017
MonotonicityNot monotonic
2025-10-23T13:24:47.047134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000000085
 
2.2%
1000000078
 
2.0%
10000000057
 
1.5%
3000000042
 
1.1%
30000000038
 
1.0%
2500000038
 
1.0%
2400000034
 
0.9%
50000000033
 
0.9%
20000000032
 
0.8%
4000000031
 
0.8%
Other values (594)3375
87.8%
ValueCountFrequency (%)
1200003
 
0.1%
1850001
 
< 0.1%
6480004
 
0.1%
9000001
 
< 0.1%
103680014
0.4%
ValueCountFrequency (%)
4.3815615 × 10101
 
< 0.1%
84300000001
 
< 0.1%
70000000001
 
< 0.1%
60216890003
0.1%
56216890002
0.1%

Contas a Pagar
Real number (ℝ)

Distinct3362
Distinct (%)87.5%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean728894612.3
Minimum0
Maximum1.34741 × 1011
Zeros34
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:47.163914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32709.5
Q12873476.25
median24691077
Q3162000650.8
95-th percentile2320554950
Maximum1.34741 × 1011
Range1.34741 × 1011
Interquartile range (IQR)159127174.5

Descriptive statistics

Standard deviation4641147402
Coefficient of variation (CV)6.36737784
Kurtosis382.574332
Mean728894612.3
Median Absolute Deviation (MAD)24510423
Skewness16.87377479
Sum2.801141995 × 1012
Variance2.154024921 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:47.300301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034
 
0.9%
75698182
 
0.1%
30104562
 
0.1%
400135002
 
0.1%
38022970.52
 
0.1%
329494452
 
0.1%
95162006.52
 
0.1%
2308420.52
 
0.1%
6831912.52
 
0.1%
12045342.52
 
0.1%
Other values (3352)3791
98.6%
ValueCountFrequency (%)
034
0.9%
241
 
< 0.1%
36.51
 
< 0.1%
491
 
< 0.1%
3351
 
< 0.1%
ValueCountFrequency (%)
1.34741 × 10111
< 0.1%
1.252885 × 10111
< 0.1%
8.4726 × 10101
< 0.1%
7.0714068 × 10101
< 0.1%
5.6172262 × 10101
< 0.1%

Contas a Receber
Real number (ℝ)

Zeros 

Distinct3233
Distinct (%)84.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean572711950
Minimum0
Maximum1.0428 × 1011
Zeros164
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:47.425185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3963
Q14075360.75
median31123186.5
Q3174943749.2
95-th percentile1965183934
Maximum1.0428 × 1011
Range1.0428 × 1011
Interquartile range (IQR)170868388.5

Descriptive statistics

Standard deviation3397318967
Coefficient of variation (CV)5.931985472
Kurtosis426.8487836
Mean572711950
Median Absolute Deviation (MAD)30874827
Skewness17.80158324
Sum2.200932024 × 1012
Variance1.154177617 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:47.554483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0164
 
4.3%
3862063.54
 
0.1%
54277525.52
 
0.1%
269315.52
 
0.1%
1617873062
 
0.1%
203793452
 
0.1%
22059211.52
 
0.1%
7644239.52
 
0.1%
9412824.52
 
0.1%
520802
 
0.1%
Other values (3223)3659
95.2%
ValueCountFrequency (%)
0164
4.3%
33.52
 
0.1%
37.52
 
0.1%
96.51
 
< 0.1%
105.51
 
< 0.1%
ValueCountFrequency (%)
1.0428 × 10111
< 0.1%
9.1782 × 10101
< 0.1%
6.23835 × 10101
< 0.1%
4.8045284 × 10101
< 0.1%
4.64809105 × 10101
< 0.1%
Distinct3247
Distinct (%)84.5%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-8058347329
Minimum-1.437943 × 1012
Maximum0
Zeros148
Zeros (%)3.8%
Negative3695
Negative (%)96.1%
Memory size30.2 KiB
2025-10-23T13:24:47.672173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.437943 × 1012
5-th percentile-2.441081924 × 1010
Q1-1549003404
median-267605478
Q3-52423445
95-th percentile-838488.2
Maximum0
Range1.437943 × 1012
Interquartile range (IQR)1496579958

Descriptive statistics

Standard deviation5.554084012 × 1010
Coefficient of variation (CV)-6.892336338
Kurtosis334.2177385
Mean-8058347329
Median Absolute Deviation (MAD)261965738
Skewness-16.46673762
Sum-3.096822879 × 1013
Variance3.084784921 × 1021
MonotonicityNot monotonic
2025-10-23T13:24:47.803898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0148
 
3.8%
-1130207714
 
0.1%
-773777484
 
0.1%
-189255162
 
0.1%
-56397402
 
0.1%
-48170862
 
0.1%
-944165532
 
0.1%
-2585774472
 
0.1%
-37490322
 
0.1%
-2748017762
 
0.1%
Other values (3237)3673
95.5%
ValueCountFrequency (%)
-1.437943 × 10121
< 0.1%
-1.386482 × 10121
< 0.1%
-1.185516 × 10121
< 0.1%
-9.59582899 × 10111
< 0.1%
-8.32772469 × 10111
< 0.1%
ValueCountFrequency (%)
0148
3.8%
-4211
 
< 0.1%
-67691
 
< 0.1%
-191562
 
0.1%
-225042
 
0.1%

Despesas Financeiras
Real number (ℝ)

Skewed  Zeros 

Distinct3211
Distinct (%)83.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-646313529.6
Minimum-1.97638 × 1011
Maximum3.1996486 × 1010
Zeros220
Zeros (%)5.7%
Negative3476
Negative (%)90.4%
Memory size30.2 KiB
2025-10-23T13:24:47.927141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.97638 × 1011
5-th percentile-2067649600
Q1-152480390.5
median-20749000
Q3-2442662.5
95-th percentile0
Maximum3.1996486 × 1010
Range2.29634486 × 1011
Interquartile range (IQR)150037728

Descriptive statistics

Standard deviation5747494477
Coefficient of variation (CV)-8.892734276
Kurtosis559.7987006
Mean-646313529.6
Median Absolute Deviation (MAD)20749000
Skewness-20.74447806
Sum-2.483782894 × 1012
Variance3.303369277 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:48.053509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0220
 
5.7%
-167540004
 
0.1%
-9564050002
 
0.1%
-44679842
 
0.1%
-327860862
 
0.1%
-185320332
 
0.1%
-6257812
 
0.1%
-359348602
 
0.1%
-3561832
 
0.1%
-17704482
 
0.1%
Other values (3201)3603
93.7%
ValueCountFrequency (%)
-1.97638 × 10111
< 0.1%
-1.40043 × 10111
< 0.1%
-1.16664 × 10111
< 0.1%
-1.16581577 × 10111
< 0.1%
-8.3114454 × 10101
< 0.1%
ValueCountFrequency (%)
3.1996486 × 10101
< 0.1%
2.4315122 × 10101
< 0.1%
1.9019443 × 10101
< 0.1%
1.6418988 × 10101
< 0.1%
1.5949841 × 10101
< 0.1%

Despesas Financeiras (Não Operacionais) (-)
Real number (ℝ)

Skewed  Zeros 

Distinct3220
Distinct (%)83.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-646898900
Minimum-1.97638 × 1011
Maximum3.1996486 × 1010
Zeros210
Zeros (%)5.5%
Negative3488
Negative (%)90.7%
Memory size30.2 KiB
2025-10-23T13:24:48.175883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.97638 × 1011
5-th percentile-2067649600
Q1-153589565.5
median-21126373
Q3-2492978.5
95-th percentile0
Maximum3.1996486 × 1010
Range2.29634486 × 1011
Interquartile range (IQR)151096587

Descriptive statistics

Standard deviation5747458840
Coefficient of variation (CV)-8.884632266
Kurtosis559.8041991
Mean-646898900
Median Absolute Deviation (MAD)21126371
Skewness-20.74455987
Sum-2.486032473 × 1012
Variance3.303328312 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:48.305818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0210
 
5.5%
-167540004
 
0.1%
-359348602
 
0.1%
-6257812
 
0.1%
-14373642
 
0.1%
-9564050002
 
0.1%
-185320332
 
0.1%
-327860862
 
0.1%
-17704482
 
0.1%
-3561832
 
0.1%
Other values (3210)3613
94.0%
ValueCountFrequency (%)
-1.97638 × 10111
< 0.1%
-1.40043 × 10111
< 0.1%
-1.16664 × 10111
< 0.1%
-1.16581577 × 10111
< 0.1%
-8.3114454 × 10101
< 0.1%
ValueCountFrequency (%)
3.1996486 × 10101
< 0.1%
2.4315122 × 10101
< 0.1%
1.9019443 × 10101
< 0.1%
1.6418988 × 10101
< 0.1%
1.5949841 × 10101
< 0.1%

Despesas Gerais e Administrativas (-)
Real number (ℝ)

Skewed 

Distinct3389
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-431920126.1
Minimum-1.32466 × 1011
Maximum0
Zeros4
Zeros (%)0.1%
Negative3839
Negative (%)99.8%
Memory size30.2 KiB
2025-10-23T13:24:48.430915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.32466 × 1011
5-th percentile-1033296091
Q1-87111048.5
median-17969209
Q3-4984663.5
95-th percentile-829297.6
Maximum0
Range1.32466 × 1011
Interquartile range (IQR)82126385

Descriptive statistics

Standard deviation4119180452
Coefficient of variation (CV)-9.536903244
Kurtosis657.053009
Mean-431920126.1
Median Absolute Deviation (MAD)15918168
Skewness-23.86486615
Sum-1.659869045 × 1012
Variance1.69676476 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:48.562881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
0.1%
-82768902
 
0.1%
-38252022
 
0.1%
-90454492
 
0.1%
-118527012
 
0.1%
-39828662
 
0.1%
-705816182
 
0.1%
-184225682
 
0.1%
-151081932
 
0.1%
-56511772
 
0.1%
Other values (3379)3821
99.4%
ValueCountFrequency (%)
-1.32466 × 10111
< 0.1%
-1.26707 × 10111
< 0.1%
-9.7574504 × 10101
< 0.1%
-8.4593939 × 10101
< 0.1%
-6.9741 × 10101
< 0.1%
ValueCountFrequency (%)
04
0.1%
-991661
 
< 0.1%
-1065002
0.1%
-1134181
 
< 0.1%
-1407601
 
< 0.1%

Despesas de Amortização
Real number (ℝ)

Skewed  Zeros 

Distinct3325
Distinct (%)86.5%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3442501832
Minimum-1789412
Maximum1.1676168 × 1013
Zeros63
Zeros (%)1.6%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:24:48.684284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1789412
5-th percentile10323.8
Q11493483.5
median10408228
Q366216348.5
95-th percentile1177305700
Maximum1.1676168 × 1013
Range1.167616979 × 1013
Interquartile range (IQR)64722865

Descriptive statistics

Standard deviation1.883647156 × 1011
Coefficient of variation (CV)54.71739009
Kurtosis3841.248743
Mean3442501832
Median Absolute Deviation (MAD)10266151
Skewness61.97080411
Sum1.322953454 × 1013
Variance3.548126609 × 1022
MonotonicityNot monotonic
2025-10-23T13:24:48.814853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063
 
1.6%
12405104
 
0.1%
8873
 
0.1%
47198322
 
0.1%
91235882
 
0.1%
34381572
 
0.1%
36154552
 
0.1%
105565612
 
0.1%
518528042
 
0.1%
785066152
 
0.1%
Other values (3315)3759
97.8%
ValueCountFrequency (%)
-17894121
 
< 0.1%
-14198031
 
< 0.1%
063
1.6%
701
 
< 0.1%
731
 
< 0.1%
ValueCountFrequency (%)
1.1676168 × 10131
< 0.1%
7.2306 × 10101
< 0.1%
5.8268 × 10101
< 0.1%
5.1221356 × 10101
< 0.1%
4.8474 × 10101
< 0.1%

Despesas de Atividades de Investimento (-)
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct994
Distinct (%)46.9%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-43356590.1
Minimum-1.45792 × 1010
Maximum6662917
Zeros1101
Zeros (%)28.6%
Negative1018
Negative (%)26.5%
Memory size30.2 KiB
2025-10-23T13:24:48.938594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.45792 × 1010
5-th percentile-130934000
Q1-2880399
median0
Q30
95-th percentile0
Maximum6662917
Range1.458586292 × 1010
Interquartile range (IQR)2880399

Descriptive statistics

Standard deviation394757900.5
Coefficient of variation (CV)-9.104911146
Kurtosis898.9329259
Mean-43356590.1
Median Absolute Deviation (MAD)0
Skewness-26.64248871
Sum-9.195932761 × 1010
Variance1.558338 × 1017
MonotonicityNot monotonic
2025-10-23T13:24:49.071456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01101
28.6%
-104002
 
0.1%
-28570002
 
0.1%
-40002
 
0.1%
-13510002
 
0.1%
-45700002
 
0.1%
-3922222
 
0.1%
-2340002
 
0.1%
-305652302
 
0.1%
-592502
 
0.1%
Other values (984)1002
26.1%
(Missing)1724
44.8%
ValueCountFrequency (%)
-1.45792 × 10101
< 0.1%
-50037120001
< 0.1%
-49188580001
< 0.1%
-40209514821
< 0.1%
-32475120001
< 0.1%
ValueCountFrequency (%)
66629171
 
< 0.1%
33776091
 
< 0.1%
01101
28.6%
-161
 
< 0.1%
-1021
 
< 0.1%
Distinct2886
Distinct (%)75.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-654666096.3
Minimum-1.10352 × 1011
Maximum0
Zeros551
Zeros (%)14.3%
Negative3292
Negative (%)85.6%
Memory size30.2 KiB
2025-10-23T13:24:49.196984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.10352 × 1011
5-th percentile-1729423000
Q1-85201737.5
median-13456693
Q3-870242
95-th percentile0
Maximum0
Range1.10352 × 1011
Interquartile range (IQR)84331495.5

Descriptive statistics

Standard deviation5032446377
Coefficient of variation (CV)-7.687042915
Kurtosis238.4770561
Mean-654666096.3
Median Absolute Deviation (MAD)13456693
Skewness-14.40228105
Sum-2.515881808 × 1012
Variance2.532551654 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:49.326063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0551
 
14.3%
-208370004
 
0.1%
-219026342
 
0.1%
-205409902
 
0.1%
-177849952
 
0.1%
-392842
 
0.1%
-90383112
 
0.1%
-251226562
 
0.1%
-263886902
 
0.1%
-71756212
 
0.1%
Other values (2876)3272
85.1%
ValueCountFrequency (%)
-1.10352 × 10111
< 0.1%
-1.03275715 × 10111
< 0.1%
-9.6787 × 10101
< 0.1%
-9.133245 × 10101
< 0.1%
-8.2725672 × 10101
< 0.1%
ValueCountFrequency (%)
0551
14.3%
-3521
 
< 0.1%
-6021
 
< 0.1%
-8591
 
< 0.1%
-12401
 
< 0.1%
Distinct1232
Distinct (%)32.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-30881699.29
Minimum-7664912000
Maximum0
Zeros2430
Zeros (%)63.2%
Negative1413
Negative (%)36.7%
Memory size30.2 KiB
2025-10-23T13:24:49.445316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7664912000
5-th percentile-59113263
Q1-1379988
median0
Q30
95-th percentile0
Maximum0
Range7664912000
Interquartile range (IQR)1379988

Descriptive statistics

Standard deviation278667884.3
Coefficient of variation (CV)-9.023722487
Kurtosis374.2852454
Mean-30881699.29
Median Absolute Deviation (MAD)0
Skewness-17.60402148
Sum-1.186783704 × 1011
Variance7.765578975 × 1016
MonotonicityNot monotonic
2025-10-23T13:24:49.575519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02430
63.2%
-16114382
 
0.1%
-29723382
 
0.1%
-1456312
 
0.1%
-4104922
 
0.1%
-19100472
 
0.1%
-11795872
 
0.1%
-3309682
 
0.1%
-616550002
 
0.1%
-16695292
 
0.1%
Other values (1222)1395
36.3%
ValueCountFrequency (%)
-76649120001
< 0.1%
-68860000001
< 0.1%
-61700640001
< 0.1%
-48486400001
< 0.1%
-46850000001
< 0.1%
ValueCountFrequency (%)
02430
63.2%
-1501
 
< 0.1%
-1601
 
< 0.1%
-2101
 
< 0.1%
-17231
 
< 0.1%
Distinct958
Distinct (%)24.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean132417927.3
Minimum-5.2405291 × 1010
Maximum4.0926 × 1010
Zeros2748
Zeros (%)71.5%
Negative313
Negative (%)8.1%
Memory size30.2 KiB
2025-10-23T13:24:49.700794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.2405291 × 1010
5-th percentile-1306166.7
Q10
median0
Q30
95-th percentile327103712.7
Maximum4.0926 × 1010
Range9.3331291 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2225167440
Coefficient of variation (CV)16.80412528
Kurtosis204.8137301
Mean132417927.3
Median Absolute Deviation (MAD)0
Skewness0.9145609569
Sum5.088820947 × 1011
Variance4.951370136 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:50.284157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02748
71.5%
18765257
 
0.2%
100100007
 
0.2%
407834
 
0.1%
19403103
 
0.1%
-14446542
 
0.1%
20960002
 
0.1%
8446640002
 
0.1%
-14550002
 
0.1%
33660002
 
0.1%
Other values (948)1064
 
27.7%
ValueCountFrequency (%)
-5.2405291 × 10101
< 0.1%
-3.9346526 × 10101
< 0.1%
-2.533064 × 10101
< 0.1%
-2.2212854 × 10101
< 0.1%
-1.6081249 × 10101
< 0.1%
ValueCountFrequency (%)
4.0926 × 10101
< 0.1%
3.4684438 × 10101
< 0.1%
3.1791514 × 10101
< 0.1%
2.9483 × 10101
< 0.1%
2.9215 × 10101
< 0.1%

Dívidas Financeiras
Real number (ℝ)

Skewed  Zeros 

Distinct2854
Distinct (%)74.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1838936742
Minimum0
Maximum4.39662 × 1011
Zeros589
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:50.400959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12178337.75
median35772365.5
Q3303444418
95-th percentile4895505384
Maximum4.39662 × 1011
Range4.39662 × 1011
Interquartile range (IQR)301266080.2

Descriptive statistics

Standard deviation1.452143309 × 1010
Coefficient of variation (CV)7.896646334
Kurtosis528.8639548
Mean1838936742
Median Absolute Deviation (MAD)35772365.5
Skewness20.60263944
Sum7.067033901 × 1012
Variance2.108720188 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:50.522877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0589
 
15.3%
66095214
 
0.1%
300645004
 
0.1%
384514274
 
0.1%
26443339.54
 
0.1%
225292004
 
0.1%
36826582.54
 
0.1%
5021.53
 
0.1%
451232542
 
0.1%
1147471622
 
0.1%
Other values (2844)3223
83.8%
ValueCountFrequency (%)
0589
15.3%
141
 
< 0.1%
183.51
 
< 0.1%
2941
 
< 0.1%
879.51
 
< 0.1%
ValueCountFrequency (%)
4.39662 × 10111
< 0.1%
4.395065 × 10111
< 0.1%
3.11874 × 10111
< 0.1%
2.449695 × 10111
< 0.1%
2.10086 × 10111
< 0.1%
Distinct920
Distinct (%)43.4%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean105503206.6
Minimum-9.6832 × 1010
Maximum1.14221 × 1011
Zeros1190
Zeros (%)30.9%
Negative362
Negative (%)9.4%
Memory size30.2 KiB
2025-10-23T13:24:50.639507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9.6832 × 1010
5-th percentile-116658595
Q10
median0
Q3117720
95-th percentile438012000
Maximum1.14221 × 1011
Range2.11053 × 1011
Interquartile range (IQR)117720

Descriptive statistics

Standard deviation4023082389
Coefficient of variation (CV)38.13232335
Kurtosis494.0158874
Mean105503206.6
Median Absolute Deviation (MAD)0
Skewness5.275227393
Sum2.237723013 × 1011
Variance1.618519191 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:50.764241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01190
30.9%
-9651402
 
0.1%
176304502
 
0.1%
1185770002
 
0.1%
-45820002
 
0.1%
257860002
 
0.1%
-4839442
 
0.1%
-114510002
 
0.1%
20939062
 
0.1%
13166520002
 
0.1%
Other values (910)913
23.7%
(Missing)1724
44.8%
ValueCountFrequency (%)
-9.6832 × 10101
< 0.1%
-4.700352 × 10101
< 0.1%
-2.1614007 × 10101
< 0.1%
-1.5230812 × 10101
< 0.1%
-1.432194 × 10101
< 0.1%
ValueCountFrequency (%)
1.14221 × 10111
< 0.1%
5.2853 × 10101
< 0.1%
4.0828 × 10101
< 0.1%
3.0779652 × 10101
< 0.1%
2.6446599 × 10101
< 0.1%

Estoques
Real number (ℝ)

Zeros 

Distinct2874
Distinct (%)74.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean542594375.5
Minimum0
Maximum8.36155 × 1010
Zeros562
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:50.884682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11939987
median23026698.5
Q3136908500
95-th percentile1813245973
Maximum8.36155 × 1010
Range8.36155 × 1010
Interquartile range (IQR)134968513

Descriptive statistics

Standard deviation3207920347
Coefficient of variation (CV)5.912188722
Kurtosis314.0063475
Mean542594375.5
Median Absolute Deviation (MAD)23026698.5
Skewness15.31572013
Sum2.085190185 × 1012
Variance1.029075296 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:51.007622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0562
 
14.6%
1635867.55
 
0.1%
735450004
 
0.1%
9283768.54
 
0.1%
5409359.54
 
0.1%
232492.53
 
0.1%
271543092
 
0.1%
28620622.52
 
0.1%
360479992
 
0.1%
407482212
 
0.1%
Other values (2864)3253
84.6%
ValueCountFrequency (%)
0562
14.6%
14.51
 
< 0.1%
859.51
 
< 0.1%
10481
 
< 0.1%
1578.51
 
< 0.1%
ValueCountFrequency (%)
8.36155 × 10101
< 0.1%
8.3113 × 10101
< 0.1%
6.69705 × 10101
< 0.1%
3.9381199 × 10101
< 0.1%
3.81244575 × 10101
< 0.1%

Fluxo de Caixa Livre
Real number (ℝ)

Missing 

Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean714297065.2
Minimum-8.0558786 × 1010
Maximum2.50573 × 1011
Zeros0
Zeros (%)0.0%
Negative819
Negative (%)21.3%
Memory size30.2 KiB
2025-10-23T13:24:51.122224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8.0558786 × 1010
5-th percentile-805617996
Q1-20714285
median9998226
Q3180679419
95-th percentile3351227000
Maximum2.50573 × 1011
Range3.31131786 × 1011
Interquartile range (IQR)201393704

Descriptive statistics

Standard deviation8220460096
Coefficient of variation (CV)11.50846125
Kurtosis478.6707985
Mean714297065.2
Median Absolute Deviation (MAD)80152237
Skewness17.92492682
Sum1.515024075 × 1012
Variance6.757596419 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:51.243840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1265308782
 
0.1%
-104483372
 
0.1%
-917960002
 
0.1%
2218670002
 
0.1%
-2798432
 
0.1%
-18759002
 
0.1%
-3000002
 
0.1%
596350002
 
0.1%
-2211134642
 
0.1%
6135940002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-8.0558786 × 10101
< 0.1%
-3.1387215 × 10101
< 0.1%
-2.0455275 × 10101
< 0.1%
-1.9913804 × 10101
< 0.1%
-1.9307893 × 10101
< 0.1%
ValueCountFrequency (%)
2.50573 × 10111
< 0.1%
1.45583 × 10111
< 0.1%
1.09333849 × 10111
< 0.1%
9.0252 × 10101
< 0.1%
7.4925987 × 10101
< 0.1%

Fluxo de Caixa Líquido das Atividades Operacionais
Real number (ℝ)

Missing  Skewed 

Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean1801200190
Minimum-9.0810797 × 1010
Maximum4.89465 × 1011
Zeros0
Zeros (%)0.0%
Negative554
Negative (%)14.4%
Memory size30.2 KiB
2025-10-23T13:24:51.362542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9.0810797 × 1010
5-th percentile-232040578
Q1-423246
median41417770
Q3418662883
95-th percentile5788055000
Maximum4.89465 × 1011
Range5.80275797 × 1011
Interquartile range (IQR)419086129

Descriptive statistics

Standard deviation1.413120971 × 1010
Coefficient of variation (CV)7.845440942
Kurtosis692.9990141
Mean1801200190
Median Absolute Deviation (MAD)82665520
Skewness21.99772849
Sum3.820345602 × 1012
Variance1.996910879 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:51.486083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2211400262
 
0.1%
-947722
 
0.1%
3838850002
 
0.1%
5623550002
 
0.1%
-2693352
 
0.1%
24817202
 
0.1%
1876650002
 
0.1%
562570002
 
0.1%
259182182
 
0.1%
387990002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-9.0810797 × 10101
< 0.1%
-7.091515 × 10101
< 0.1%
-98067200001
< 0.1%
-87748022191
< 0.1%
-85944870001
< 0.1%
ValueCountFrequency (%)
4.89465 × 10111
< 0.1%
1.53543 × 10111
< 0.1%
1.45032 × 10111
< 0.1%
1.3558 × 10111
< 0.1%
1.23121104 × 10111
< 0.1%

Fluxo de Caixa das Atividades de Financiamento
Real number (ℝ)

Missing  Zeros 

Distinct2011
Distinct (%)94.8%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-183805828.4
Minimum-7.536 × 1010
Maximum9.1587391 × 1010
Zeros83
Zeros (%)2.2%
Negative1248
Negative (%)32.5%
Memory size30.2 KiB
2025-10-23T13:24:51.603483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7.536 × 1010
5-th percentile-2304866000
Q1-120092912
median-4331599
Q323610412
95-th percentile1116414303
Maximum9.1587391 × 1010
Range1.66947391 × 1011
Interquartile range (IQR)143703324

Descriptive statistics

Standard deviation4834061523
Coefficient of variation (CV)-26.29982719
Kurtosis149.1952654
Mean-183805828.4
Median Absolute Deviation (MAD)61098409
Skewness-0.5213583234
Sum-3.89852162 × 1011
Variance2.33681508 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:51.723543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
083
 
2.2%
-400002
 
0.1%
3664360002
 
0.1%
2698120352
 
0.1%
-262920002
 
0.1%
-1294511892
 
0.1%
-5003320002
 
0.1%
-12500002
 
0.1%
-4000002
 
0.1%
-2010550002
 
0.1%
Other values (2001)2020
52.5%
(Missing)1724
44.8%
ValueCountFrequency (%)
-7.536 × 10101
< 0.1%
-7.0563 × 10101
< 0.1%
-5.773563 × 10101
< 0.1%
-5.0207381 × 10101
< 0.1%
-5.0005 × 10101
< 0.1%
ValueCountFrequency (%)
9.1587391 × 10101
< 0.1%
5.8027269 × 10101
< 0.1%
4.2584205 × 10101
< 0.1%
4.0449544 × 10101
< 0.1%
3.7786533 × 10101
< 0.1%

Fluxo de Caixa das Atividades de Investimento
Real number (ℝ)

Missing  Zeros 

Distinct2057
Distinct (%)97.0%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-1086903124
Minimum-2.38892 × 1011
Maximum5.0459875 × 1010
Zeros46
Zeros (%)1.2%
Negative1664
Negative (%)43.3%
Memory size30.2 KiB
2025-10-23T13:24:51.842801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.38892 × 1011
5-th percentile-3710909799
Q1-207751000
median-20945825
Q3-86777
95-th percentile164321330
Maximum5.0459875 × 1010
Range2.89351875 × 1011
Interquartile range (IQR)207664223

Descriptive statistics

Standard deviation7970998733
Coefficient of variation (CV)-7.333679105
Kurtosis441.2682109
Mean-1086903124
Median Absolute Deviation (MAD)40980571
Skewness-17.68438554
Sum-2.305321527 × 1012
Variance6.35368208 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:51.962850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046
 
1.2%
-3404880002
 
0.1%
93709642
 
0.1%
-103535652
 
0.1%
5747950002
 
0.1%
-2470316822
 
0.1%
-4756810002
 
0.1%
-105082
 
0.1%
-1879650002
 
0.1%
33780002
 
0.1%
Other values (2047)2057
53.5%
(Missing)1724
44.8%
ValueCountFrequency (%)
-2.38892 × 10111
< 0.1%
-1.30387 × 10111
< 0.1%
-1.21372 × 10111
< 0.1%
-8.5638 × 10101
< 0.1%
-5.5445579 × 10101
< 0.1%
ValueCountFrequency (%)
5.0459875 × 10101
< 0.1%
1.2836803 × 10101
< 0.1%
1.033669 × 10101
< 0.1%
1.0252011 × 10101
< 0.1%
1.0003 × 10101
< 0.1%

Fluxo de Caixa de Outras Atividades Operacionais
Real number (ℝ)

Missing  Zeros 

Distinct1881
Distinct (%)88.7%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-311105021.4
Minimum-3.8170546 × 1010
Maximum6066626000
Zeros219
Zeros (%)5.7%
Negative1600
Negative (%)41.6%
Memory size30.2 KiB
2025-10-23T13:24:52.088280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.8170546 × 1010
5-th percentile-1136405000
Q1-64210346
median-5819104
Q3-674
95-th percentile13783528
Maximum6066626000
Range4.4237172 × 1010
Interquartile range (IQR)64209672

Descriptive statistics

Standard deviation1985691112
Coefficient of variation (CV)-6.38270351
Kurtosis188.9980406
Mean-311105021.4
Median Absolute Deviation (MAD)8403863
Skewness-12.57376466
Sum-6.598537504 × 1011
Variance3.942969192 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:52.211315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0219
 
5.7%
-1070570002
 
0.1%
-87127562
 
0.1%
-372226602
 
0.1%
-1278470002
 
0.1%
73699482
 
0.1%
-323150002
 
0.1%
1149772
 
0.1%
-6337452
 
0.1%
-58191042
 
0.1%
Other values (1871)1884
49.0%
(Missing)1724
44.8%
ValueCountFrequency (%)
-3.8170546 × 10101
< 0.1%
-3.4044 × 10101
< 0.1%
-3.1642 × 10101
< 0.1%
-3.077173 × 10101
< 0.1%
-2.5756962 × 10101
< 0.1%
ValueCountFrequency (%)
60666260001
< 0.1%
47126970001
< 0.1%
32577950001
< 0.1%
19130490001
< 0.1%
16107990001
< 0.1%

Fluxo de Caixa de Outras Atividades de Financiamento
Real number (ℝ)

Missing  Zeros 

Distinct1772
Distinct (%)83.5%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-420916560.2
Minimum-6.3768 × 1010
Maximum1.5603981 × 1010
Zeros328
Zeros (%)8.5%
Negative1448
Negative (%)37.7%
Memory size30.2 KiB
2025-10-23T13:24:52.325809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6.3768 × 1010
5-th percentile-1878591000
Q1-100268913
median-8822284
Q30
95-th percentile104683400
Maximum1.5603981 × 1010
Range7.9371981 × 1010
Interquartile range (IQR)100268913

Descriptive statistics

Standard deviation2767192650
Coefficient of variation (CV)-6.574207126
Kurtosis237.410795
Mean-420916560.2
Median Absolute Deviation (MAD)16983995
Skewness-13.04877864
Sum-8.927640243 × 1011
Variance7.65735516 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:52.452652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0328
 
8.5%
-967770002
 
0.1%
3101180492
 
0.1%
165814982
 
0.1%
20000002
 
0.1%
-16469722
 
0.1%
6680210002
 
0.1%
-1315649562
 
0.1%
217780002
 
0.1%
190550002
 
0.1%
Other values (1762)1775
46.2%
(Missing)1724
44.8%
ValueCountFrequency (%)
-6.3768 × 10101
< 0.1%
-5.1571 × 10101
< 0.1%
-4.6127 × 10101
< 0.1%
-3.1186 × 10101
< 0.1%
-2.4782267 × 10101
< 0.1%
ValueCountFrequency (%)
1.5603981 × 10101
< 0.1%
1.3498332 × 10101
< 0.1%
59223770001
< 0.1%
47822680001
< 0.1%
47736470001
< 0.1%

Fluxo de Caixa de Outras Atividades de Investimento
Real number (ℝ)

Missing  Zeros 

Distinct1487
Distinct (%)70.1%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-214417814.9
Minimum-1.628 × 1011
Maximum6.1411346 × 1010
Zeros615
Zeros (%)16.0%
Negative683
Negative (%)17.8%
Memory size30.2 KiB
2025-10-23T13:24:52.577011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.628 × 1011
5-th percentile-751402000
Q1-3715019
median0
Q35924634
95-th percentile549738000
Maximum6.1411346 × 1010
Range2.24211346 × 1011
Interquartile range (IQR)9639653

Descriptive statistics

Standard deviation5332390632
Coefficient of variation (CV)-24.86915854
Kurtosis508.5600997
Mean-214417814.9
Median Absolute Deviation (MAD)4973884
Skewness-17.33451762
Sum-4.547801854 × 1011
Variance2.843438985 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:52.698100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0615
 
16.0%
148578832
 
0.1%
-1090690002
 
0.1%
61702052
 
0.1%
374160002
 
0.1%
485962
 
0.1%
517352
 
0.1%
320340002
 
0.1%
11672
 
0.1%
-8310002
 
0.1%
Other values (1477)1488
38.7%
(Missing)1724
44.8%
ValueCountFrequency (%)
-1.628 × 10111
< 0.1%
-1.05838 × 10111
< 0.1%
-5.3628756 × 10101
< 0.1%
-5.2335 × 10101
< 0.1%
-5.0501 × 10101
< 0.1%
ValueCountFrequency (%)
6.1411346 × 10101
< 0.1%
5.3502 × 10101
< 0.1%
3.7557313 × 10101
< 0.1%
1.9382991 × 10101
< 0.1%
1.1483124 × 10101
< 0.1%
Distinct312
Distinct (%)8.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5192630.34
Minimum-1003122000
Maximum1248552000
Zeros3403
Zeros (%)88.5%
Negative32
Negative (%)0.8%
Memory size30.2 KiB
2025-10-23T13:24:52.817896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1003122000
5-th percentile0
Q10
median0
Q30
95-th percentile15303609.9
Maximum1248552000
Range2251674000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53874864.12
Coefficient of variation (CV)10.37525504
Kurtosis230.4820157
Mean5192630.34
Median Absolute Deviation (MAD)0
Skewness6.304335153
Sum1.99552784 × 1010
Variance2.902500984 × 1015
MonotonicityNot monotonic
2025-10-23T13:24:52.943970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03403
88.5%
219665865
 
0.1%
141612884
 
0.1%
219893104
 
0.1%
97820004
 
0.1%
4922713
 
0.1%
16762093
 
0.1%
4738873
 
0.1%
104206173
 
0.1%
86423683
 
0.1%
Other values (302)408
 
10.6%
ValueCountFrequency (%)
-10031220001
< 0.1%
-8412130002
0.1%
-2453170001
< 0.1%
-938420002
0.1%
-929420002
0.1%
ValueCountFrequency (%)
12485520001
< 0.1%
10693220001
< 0.1%
8921460001
< 0.1%
7132030001
< 0.1%
6653090002
0.1%

Goodwill
Real number (ℝ)

Skewed  Zeros 

Distinct501
Distinct (%)13.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean219151985.1
Minimum-35298
Maximum7.0022 × 1010
Zeros2938
Zeros (%)76.4%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:24:53.064141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-35298
5-th percentile0
Q10
median0
Q30
95-th percentile353740596
Maximum7.0022 × 1010
Range7.00220353 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2279678083
Coefficient of variation (CV)10.40226983
Kurtosis569.3565841
Mean219151985.1
Median Absolute Deviation (MAD)0
Skewness21.84049292
Sum8.422010788 × 1011
Variance5.196932164 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:53.192237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02938
76.4%
3119440114
 
0.4%
178273114
 
0.4%
36344814
 
0.4%
234099513
 
0.3%
504525711
 
0.3%
4559516710
 
0.3%
94279210
 
0.3%
598900010
 
0.3%
1294578879
 
0.2%
Other values (491)800
 
20.8%
ValueCountFrequency (%)
-352982
 
0.1%
02938
76.4%
1105871
 
< 0.1%
1646163
 
0.1%
3012351
 
< 0.1%
ValueCountFrequency (%)
7.0022 × 10101
< 0.1%
6.966 × 10101
< 0.1%
4.873 × 10101
< 0.1%
4.1723012 × 10101
< 0.1%
3.7677599 × 10101
< 0.1%

Imóveis de Investimento
Real number (ℝ)

Zeros 

Distinct1345
Distinct (%)35.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean337261574.4
Minimum0
Maximum6.3968804 × 1010
Zeros2215
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:53.312052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329317755
95-th percentile1027923214
Maximum6.3968804 × 1010
Range6.3968804 × 1010
Interquartile range (IQR)29317755

Descriptive statistics

Standard deviation2280041214
Coefficient of variation (CV)6.760453568
Kurtosis310.5239445
Mean337261574.4
Median Absolute Deviation (MAD)0
Skewness15.28949189
Sum1.29609623 × 1012
Variance5.198587938 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:53.438879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02215
57.6%
22927014
 
0.4%
648109
 
0.2%
46210007
 
0.2%
20000006
 
0.2%
9985836
 
0.2%
14211865
 
0.1%
1500005
 
0.1%
203309584
 
0.1%
88428454
 
0.1%
Other values (1335)1568
40.8%
ValueCountFrequency (%)
02215
57.6%
36841
 
< 0.1%
74101
 
< 0.1%
224472
 
0.1%
240581
 
< 0.1%
ValueCountFrequency (%)
6.3968804 × 10101
< 0.1%
5.3635274 × 10101
< 0.1%
3.7924346 × 10101
< 0.1%
3.6781687 × 10101
< 0.1%
3.528764584 × 10101
< 0.1%

Indenização por Antiguidade
Real number (ℝ)

Zeros 

Distinct3308
Distinct (%)86.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18004893.66
Minimum-42042268
Maximum3873000000
Zeros82
Zeros (%)2.1%
Negative110
Negative (%)2.9%
Memory size30.2 KiB
2025-10-23T13:24:53.558430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-42042268
5-th percentile106.9
Q1123060
median868767
Q34100301
95-th percentile57484245.9
Maximum3873000000
Range3915042268
Interquartile range (IQR)3977241

Descriptive statistics

Standard deviation132174901.6
Coefficient of variation (CV)7.341054275
Kurtosis440.2663261
Mean18004893.66
Median Absolute Deviation (MAD)856511
Skewness18.98277329
Sum6.919280633 × 1010
Variance1.74702046 × 1016
MonotonicityNot monotonic
2025-10-23T13:24:53.689537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
082
 
2.1%
218464
 
0.1%
2367373
 
0.1%
83163
 
0.1%
257462
 
0.1%
-64392
 
0.1%
236572
 
0.1%
1475882
 
0.1%
2552012
 
0.1%
23449572
 
0.1%
Other values (3298)3739
97.2%
ValueCountFrequency (%)
-420422681
< 0.1%
-385423961
< 0.1%
-359257491
< 0.1%
-270850001
< 0.1%
-153226291
< 0.1%
ValueCountFrequency (%)
38730000001
< 0.1%
34710000001
< 0.1%
29541940001
< 0.1%
24599950001
< 0.1%
20759750001
< 0.1%
Distinct963
Distinct (%)25.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean417653396.7
Minimum-12780
Maximum1.1121345 × 1011
Zeros2753
Zeros (%)71.6%
Negative1
Negative (%)< 0.1%
Memory size30.2 KiB
2025-10-23T13:24:53.814581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-12780
5-th percentile0
Q10
median0
Q31549823.5
95-th percentile617362923
Maximum1.1121345 × 1011
Range1.112134628 × 1011
Interquartile range (IQR)1549823.5

Descriptive statistics

Standard deviation4213650163
Coefficient of variation (CV)10.08886842
Kurtosis438.2001224
Mean417653396.7
Median Absolute Deviation (MAD)0
Skewness19.29407973
Sum1.605042004 × 1012
Variance1.77548477 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:53.944142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02753
71.6%
13
 
0.1%
549110002
 
0.1%
872950002
 
0.1%
8041680002
 
0.1%
6967770362
 
0.1%
946780002
 
0.1%
2567026032
 
0.1%
3853410002
 
0.1%
436379242
 
0.1%
Other values (953)1071
 
27.9%
ValueCountFrequency (%)
-127801
 
< 0.1%
02753
71.6%
13
 
0.1%
132
 
0.1%
13451
 
< 0.1%
ValueCountFrequency (%)
1.1121345 × 10111
< 0.1%
1.10554544 × 10111
< 0.1%
9.9685 × 10101
< 0.1%
9.9618 × 10101
< 0.1%
6.6114225 × 10101
< 0.1%

Investimentos Financeiros
Real number (ℝ)

Skewed  Zeros 

Distinct1971
Distinct (%)51.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean847353962.2
Minimum0
Maximum3.585524415 × 1011
Zeros1182
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:54.060957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median346000
Q314520703.25
95-th percentile688564500
Maximum3.585524415 × 1011
Range3.585524415 × 1011
Interquartile range (IQR)14520703.25

Descriptive statistics

Standard deviation1.203890415 × 1010
Coefficient of variation (CV)14.20764484
Kurtosis587.4277051
Mean847353962.2
Median Absolute Deviation (MAD)346000
Skewness23.24919179
Sum3.256381277 × 1012
Variance1.449352131 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:54.189281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01182
30.7%
250021
 
0.5%
500.514
 
0.4%
51553.512
 
0.3%
4745510
 
0.3%
3523710
 
0.3%
32838.510
 
0.3%
73.59
 
0.2%
7156.59
 
0.2%
4149.59
 
0.2%
Other values (1961)2557
66.5%
ValueCountFrequency (%)
01182
30.7%
12
 
0.1%
52
 
0.1%
92
 
0.1%
10.53
 
0.1%
ValueCountFrequency (%)
3.585524415 × 10111
< 0.1%
3.282157135 × 10111
< 0.1%
3.083765 × 10111
< 0.1%
2.679955 × 10111
< 0.1%
2.452501005 × 10111
< 0.1%
Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean727090588.1
Minimum-3.0720036 × 1010
Maximum1.78415 × 1011
Zeros0
Zeros (%)0.0%
Negative1225
Negative (%)31.9%
Memory size30.2 KiB
2025-10-23T13:24:54.310786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.0720036 × 1010
5-th percentile-187841847.6
Q1-2669388
median10437104
Q3109324843
95-th percentile2333362621
Maximum1.78415 × 1011
Range2.09135036 × 1011
Interquartile range (IQR)111994231

Descriptive statistics

Standard deviation6014139991
Coefficient of variation (CV)8.271514017
Kurtosis447.4066383
Mean727090588.1
Median Absolute Deviation (MAD)31250571
Skewness18.76425719
Sum2.79420913 × 1012
Variance3.616987983 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:54.432986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8342572
 
0.1%
2612372
 
0.1%
-544675532
 
0.1%
-10245182
 
0.1%
174119122
 
0.1%
296238792
 
0.1%
-39510622
 
0.1%
-786565022
 
0.1%
151009252
 
0.1%
20531722
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
-3.0720036 × 10101
< 0.1%
-1.0847165 × 10101
< 0.1%
-67938030001
< 0.1%
-55880000001
< 0.1%
-52880000001
< 0.1%
ValueCountFrequency (%)
1.78415 × 10111
< 0.1%
1.62998 × 10111
< 0.1%
1.29576 × 10111
< 0.1%
1.13357 × 10111
< 0.1%
7.7780087 × 10101
< 0.1%

LUCRO BRUTO (PREJUÍZO)
Real number (ℝ)

Skewed  Zeros 

Distinct3322
Distinct (%)86.4%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2025886474
Minimum-3361550000
Maximum5.43799 × 1011
Zeros77
Zeros (%)2.0%
Negative196
Negative (%)5.1%
Memory size30.2 KiB
2025-10-23T13:24:54.544317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3361550000
5-th percentile-8404.1
Q19736151
median62876707
Q3347600076.5
95-th percentile5815869000
Maximum5.43799 × 1011
Range5.4716055 × 1011
Interquartile range (IQR)337863925.5

Descriptive statistics

Standard deviation1.596294683 × 1010
Coefficient of variation (CV)7.879487343
Kurtosis538.5407098
Mean2025886474
Median Absolute Deviation (MAD)61880562
Skewness20.4141976
Sum7.785481719 × 1012
Variance2.548156715 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:54.665037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
077
 
2.0%
595732352
 
0.1%
1786150002
 
0.1%
548363472
 
0.1%
1597637762
 
0.1%
523499222
 
0.1%
378186952
 
0.1%
7496160002
 
0.1%
171531222
 
0.1%
573581422
 
0.1%
Other values (3312)3748
97.5%
ValueCountFrequency (%)
-33615500001
< 0.1%
-24070700651
< 0.1%
-17321592891
< 0.1%
-14150081461
< 0.1%
-13457679451
< 0.1%
ValueCountFrequency (%)
5.43799 × 10111
< 0.1%
4.04943 × 10111
< 0.1%
3.27835 × 10111
< 0.1%
2.68362132 × 10111
< 0.1%
2.04108438 × 10111
< 0.1%

LUCRO OPERACIONAL (PREJUÍZO)
Real number (ℝ)

Skewed 

Distinct3390
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean907717259.1
Minimum-1.1110364 × 1010
Maximum2.77114 × 1011
Zeros3
Zeros (%)0.1%
Negative903
Negative (%)23.5%
Memory size30.2 KiB
2025-10-23T13:24:54.778749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.1110364 × 1010
5-th percentile-61988792.1
Q1353441.5
median23595501
Q3167890000
95-th percentile2805828544
Maximum2.77114 × 1011
Range2.88224364 × 1011
Interquartile range (IQR)167536558.5

Descriptive statistics

Standard deviation7956936700
Coefficient of variation (CV)8.76587574
Kurtosis632.7608917
Mean907717259.1
Median Absolute Deviation (MAD)30591726
Skewness22.51204783
Sum3.488357427 × 1012
Variance6.331284165 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:54.902429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
526589832
 
0.1%
207805142
 
0.1%
16958292
 
0.1%
188562432
 
0.1%
303567162
 
0.1%
400114102
 
0.1%
102722322
 
0.1%
-4181262
 
0.1%
-23273672
 
0.1%
Other values (3380)3822
99.4%
ValueCountFrequency (%)
-1.1110364 × 10101
< 0.1%
-1.0968464 × 10101
< 0.1%
-96378730001
< 0.1%
-95738570001
< 0.1%
-94757350001
< 0.1%
ValueCountFrequency (%)
2.77114 × 10111
< 0.1%
2.24589 × 10111
< 0.1%
1.59908146 × 10111
< 0.1%
1.52660231 × 10111
< 0.1%
1.06303044 × 10111
< 0.1%
Distinct3390
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean719871009.2
Minimum-3.0719765 × 1010
Maximum1.78415 × 1011
Zeros3
Zeros (%)0.1%
Negative1215
Negative (%)31.6%
Memory size30.2 KiB
2025-10-23T13:24:55.024730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.0719765 × 1010
5-th percentile-172904000.4
Q1-2614619
median10293377
Q3108205388.5
95-th percentile2333671000
Maximum1.78415 × 1011
Range2.09134765 × 1011
Interquartile range (IQR)110820007.5

Descriptive statistics

Standard deviation6001704441
Coefficient of variation (CV)8.337194252
Kurtosis451.158985
Mean719871009.2
Median Absolute Deviation (MAD)30072135
Skewness18.86625215
Sum2.766464288 × 1012
Variance3.602045619 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:55.144783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
-544675532
 
0.1%
137164982
 
0.1%
-39510622
 
0.1%
151009252
 
0.1%
174119122
 
0.1%
496621012
 
0.1%
20531722
 
0.1%
3278272
 
0.1%
-524199602
 
0.1%
Other values (3380)3822
99.4%
ValueCountFrequency (%)
-3.0719765 × 10101
< 0.1%
-1.0847165 × 10101
< 0.1%
-67938030001
< 0.1%
-55880000001
< 0.1%
-52880000001
< 0.1%
ValueCountFrequency (%)
1.78415 × 10111
< 0.1%
1.62998 × 10111
< 0.1%
1.29576 × 10111
< 0.1%
1.13357 × 10111
< 0.1%
7.7780087 × 10101
< 0.1%
Distinct216
Distinct (%)5.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7215300.706
Minimum-1060902000
Maximum1.2427963 × 1010
Zeros3584
Zeros (%)93.2%
Negative154
Negative (%)4.0%
Memory size30.2 KiB
2025-10-23T13:24:55.260532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1060902000
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.2427963 × 1010
Range1.3488865 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation219791270.8
Coefficient of variation (CV)30.46183101
Kurtosis2671.812876
Mean7215300.706
Median Absolute Deviation (MAD)0
Skewness48.48568288
Sum2.772840062 × 1010
Variance4.830820273 × 1016
MonotonicityNot monotonic
2025-10-23T13:24:55.393574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03584
93.2%
-2226594
 
0.1%
30060002
 
0.1%
520450002
 
0.1%
-39640002
 
0.1%
6126502
 
0.1%
226752032
 
0.1%
352320002
 
0.1%
91552482
 
0.1%
-188911102
 
0.1%
Other values (206)239
 
6.2%
ValueCountFrequency (%)
-10609020001
< 0.1%
-3755365871
< 0.1%
-3228560681
< 0.1%
-2517987151
< 0.1%
-1559610001
< 0.1%
ValueCountFrequency (%)
1.2427963 × 10101
< 0.1%
28437930001
< 0.1%
22097250001
< 0.1%
21217910001
< 0.1%
20946230001
< 0.1%

Lucro Antes dos Ajustes
Real number (ℝ)

Missing  Zeros 

Distinct2057
Distinct (%)97.0%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean1231176542
Minimum-3.0720036 × 1010
Maximum1.78415 × 1011
Zeros49
Zeros (%)1.3%
Negative594
Negative (%)15.4%
Memory size30.2 KiB
2025-10-23T13:24:55.512658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.0720036 × 1010
5-th percentile-405367487
Q1-3172494
median27282393
Q3295234000
95-th percentile4518160000
Maximum1.78415 × 1011
Range2.09135036 × 1011
Interquartile range (IQR)298406494

Descriptive statistics

Standard deviation8021919738
Coefficient of variation (CV)6.515653497
Kurtosis251.5416184
Mean1231176542
Median Absolute Deviation (MAD)80636632
Skewness14.12273593
Sum2.611325445 × 1012
Variance6.435119629 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:55.628796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049
 
1.3%
1443481712
 
0.1%
502270252
 
0.1%
155108962
 
0.1%
2247280002
 
0.1%
6226950002
 
0.1%
4129840002
 
0.1%
-32119552
 
0.1%
1434100002
 
0.1%
1253123032
 
0.1%
Other values (2047)2054
53.4%
(Missing)1724
44.8%
ValueCountFrequency (%)
-3.0720036 × 10101
< 0.1%
-1.0847165 × 10101
< 0.1%
-67938030001
< 0.1%
-55880000001
< 0.1%
-52880000001
< 0.1%
ValueCountFrequency (%)
1.78415 × 10111
< 0.1%
1.62998 × 10111
< 0.1%
1.29576 × 10111
< 0.1%
1.13357 × 10111
< 0.1%
7.7780087 × 10101
< 0.1%
Distinct3303
Distinct (%)85.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1663631973
Minimum-3361550000
Maximum3.2207 × 1011
Zeros99
Zeros (%)2.6%
Negative204
Negative (%)5.3%
Memory size30.2 KiB
2025-10-23T13:24:55.746338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3361550000
5-th percentile-62755.5
Q19285517
median62130337
Q3334559017
95-th percentile5532595144
Maximum3.2207 × 1011
Range3.2543155 × 1011
Interquartile range (IQR)325273500

Descriptive statistics

Standard deviation1.093338554 × 1010
Coefficient of variation (CV)6.571997722
Kurtosis330.1834021
Mean1663631973
Median Absolute Deviation (MAD)61316074
Skewness15.86389503
Sum6.393337673 × 1012
Variance1.195389193 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:55.871492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
099
 
2.6%
528507322
 
0.1%
414750982
 
0.1%
195695032
 
0.1%
330957572
 
0.1%
617620652
 
0.1%
548363472
 
0.1%
595732352
 
0.1%
486438432
 
0.1%
899965162
 
0.1%
Other values (3293)3726
96.9%
ValueCountFrequency (%)
-33615500001
< 0.1%
-24070700651
< 0.1%
-17321592891
< 0.1%
-14150081461
< 0.1%
-13457679451
< 0.1%
ValueCountFrequency (%)
3.2207 × 10111
< 0.1%
2.25007 × 10111
< 0.1%
2.13956 × 10111
< 0.1%
1.64105942 × 10111
< 0.1%
1.58430524 × 10111
< 0.1%
Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean2270575179
Minimum-1.8855576 × 1010
Maximum4.73962 × 1011
Zeros0
Zeros (%)0.0%
Negative382
Negative (%)9.9%
Memory size30.2 KiB
2025-10-23T13:24:55.990944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.8855576 × 1010
5-th percentile-108576022
Q15123472
median79370092
Q3592404906
95-th percentile7585298431
Maximum4.73962 × 1011
Range4.92817576 × 1011
Interquartile range (IQR)587281434

Descriptive statistics

Standard deviation1.469364268 × 1010
Coefficient of variation (CV)6.47133062
Kurtosis543.0271059
Mean2270575179
Median Absolute Deviation (MAD)97419492
Skewness19.74746302
Sum4.815889955 × 1012
Variance2.159031352 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:56.112528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2878824232
 
0.1%
361825392
 
0.1%
13517430002
 
0.1%
6336830002
 
0.1%
-12108702
 
0.1%
2061765342
 
0.1%
1890460002
 
0.1%
4017610002
 
0.1%
352782922
 
0.1%
2393290002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-1.8855576 × 10101
< 0.1%
-1.4049734 × 10101
< 0.1%
-1.2185849 × 10101
< 0.1%
-80370520001
< 0.1%
-41734800001
< 0.1%
ValueCountFrequency (%)
4.73962 × 10111
< 0.1%
2.04752 × 10111
< 0.1%
1.9271 × 10111
< 0.1%
1.41763 × 10111
< 0.1%
1.36933 × 10111
< 0.1%

Lucro por Ação
Real number (ℝ)

Skewed  Zeros 

Distinct82
Distinct (%)2.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6531355712
Minimum-1246
Maximum336
Zeros2593
Zeros (%)67.4%
Negative318
Negative (%)8.3%
Memory size30.2 KiB
2025-10-23T13:24:56.226533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1246
5-th percentile-1
Q10
median0
Q30
95-th percentile5
Maximum336
Range1582
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.01447425
Coefficient of variation (CV)47.48550779
Kurtosis1367.198207
Mean0.6531355712
Median Absolute Deviation (MAD)0
Skewness-32.96937575
Sum2510
Variance961.8976131
MonotonicityNot monotonic
2025-10-23T13:24:56.354109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02593
67.4%
1431
 
11.2%
-1182
 
4.7%
2150
 
3.9%
371
 
1.8%
449
 
1.3%
-244
 
1.1%
543
 
1.1%
-329
 
0.8%
620
 
0.5%
Other values (72)231
 
6.0%
ValueCountFrequency (%)
-12462
0.1%
-1742
0.1%
-562
0.1%
-551
< 0.1%
-541
< 0.1%
ValueCountFrequency (%)
3361
< 0.1%
3301
< 0.1%
2311
< 0.1%
2021
< 0.1%
1421
< 0.1%

Lucro por Ação Diluído
Real number (ℝ)

Skewed  Zeros 

Distinct73
Distinct (%)1.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2492844132
Minimum-1246
Maximum336
Zeros3215
Zeros (%)83.6%
Negative166
Negative (%)4.3%
Memory size30.2 KiB
2025-10-23T13:24:56.473468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1246
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum336
Range1582
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.97252423
Coefficient of variation (CV)120.2342491
Kurtosis1561.259461
Mean0.2492844132
Median Absolute Deviation (MAD)0
Skewness-36.79122009
Sum958
Variance898.3522086
MonotonicityNot monotonic
2025-10-23T13:24:56.599651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03215
83.6%
1175
 
4.6%
-189
 
2.3%
283
 
2.2%
333
 
0.9%
427
 
0.7%
522
 
0.6%
-320
 
0.5%
-218
 
0.5%
714
 
0.4%
Other values (63)147
 
3.8%
ValueCountFrequency (%)
-12462
0.1%
-561
< 0.1%
-551
< 0.1%
-541
< 0.1%
-261
< 0.1%
ValueCountFrequency (%)
3361
< 0.1%
2311
< 0.1%
2021
< 0.1%
1421
< 0.1%
1161
< 0.1%
Distinct72
Distinct (%)1.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2175383815
Minimum-1246
Maximum336
Zeros3265
Zeros (%)84.9%
Negative156
Negative (%)4.1%
Memory size30.2 KiB
2025-10-23T13:24:56.723410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1246
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum336
Range1582
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.96198415
Coefficient of variation (CV)137.7319439
Kurtosis1563.304577
Mean0.2175383815
Median Absolute Deviation (MAD)0
Skewness-36.82756653
Sum836
Variance897.720494
MonotonicityNot monotonic
2025-10-23T13:24:56.850390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03265
84.9%
1155
 
4.0%
-184
 
2.2%
277
 
2.0%
331
 
0.8%
423
 
0.6%
521
 
0.5%
-318
 
0.5%
-217
 
0.4%
712
 
0.3%
Other values (62)140
 
3.6%
ValueCountFrequency (%)
-12462
0.1%
-561
< 0.1%
-551
< 0.1%
-541
< 0.1%
-261
< 0.1%
ValueCountFrequency (%)
3361
< 0.1%
2311
< 0.1%
2021
< 0.1%
1421
< 0.1%
1161
< 0.1%

Lucro por Ação de Operações Continuadas
Real number (ℝ)

Skewed  Zeros 

Distinct74
Distinct (%)1.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1579495186
Minimum-1246
Maximum336
Zeros3149
Zeros (%)81.9%
Negative182
Negative (%)4.7%
Memory size30.2 KiB
2025-10-23T13:24:56.969352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1246
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum336
Range1582
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.33630312
Coefficient of variation (CV)192.0632832
Kurtosis1488.229058
Mean0.1579495186
Median Absolute Deviation (MAD)0
Skewness-35.63608436
Sum607
Variance920.291287
MonotonicityNot monotonic
2025-10-23T13:24:57.095693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03149
81.9%
1214
 
5.6%
-1105
 
2.7%
284
 
2.2%
337
 
1.0%
528
 
0.7%
427
 
0.7%
-318
 
0.5%
-216
 
0.4%
714
 
0.4%
Other values (64)151
 
3.9%
ValueCountFrequency (%)
-12462
0.1%
-2052
0.1%
-561
< 0.1%
-551
< 0.1%
-541
< 0.1%
ValueCountFrequency (%)
3361
< 0.1%
2311
< 0.1%
2021
< 0.1%
1421
< 0.1%
1161
< 0.1%
Distinct3379
Distinct (%)87.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean630767415.1
Minimum-1.547456 × 1010
Maximum1.62998 × 1011
Zeros15
Zeros (%)0.4%
Negative1217
Negative (%)31.7%
Memory size30.2 KiB
2025-10-23T13:24:57.221287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.547456 × 1010
5-th percentile-178537608.6
Q1-2694545
median10068543
Q399979084.5
95-th percentile2033001168
Maximum1.62998 × 1011
Range1.7847256 × 1011
Interquartile range (IQR)102673629.5

Descriptive statistics

Standard deviation4962439282
Coefficient of variation (CV)7.867304434
Kurtosis472.5357495
Mean630767415.1
Median Absolute Deviation (MAD)29440842
Skewness18.93619918
Sum2.424039176 × 1012
Variance2.462580363 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:57.347280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
0.4%
496621012
 
0.1%
165562382
 
0.1%
137164992
 
0.1%
947139332
 
0.1%
20531722
 
0.1%
-523932622
 
0.1%
-10245182
 
0.1%
-376612432
 
0.1%
13077382
 
0.1%
Other values (3369)3810
99.1%
ValueCountFrequency (%)
-1.547456 × 10101
< 0.1%
-1.1020692 × 10101
< 0.1%
-63436630001
< 0.1%
-55880000001
< 0.1%
-32977380001
< 0.1%
ValueCountFrequency (%)
1.62998 × 10111
< 0.1%
1.13357 × 10111
< 0.1%
1.08176 × 10111
< 0.1%
7.7354422 × 10101
< 0.1%
7.2662 × 10101
< 0.1%
Distinct1671
Distinct (%)99.1%
Missing2158
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean2312367194
Minimum-9838989000
Maximum3.23157 × 1011
Zeros0
Zeros (%)0.0%
Negative264
Negative (%)6.9%
Memory size30.2 KiB
2025-10-23T13:24:57.467617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9838989000
5-th percentile-217954227
Q112465805.5
median128765644
Q3820819000
95-th percentile8674195700
Maximum3.23157 × 1011
Range3.32995989 × 1011
Interquartile range (IQR)808353194.5

Descriptive statistics

Standard deviation1.378547543 × 1010
Coefficient of variation (CV)5.961629046
Kurtosis272.6257675
Mean2312367194
Median Absolute Deviation (MAD)141517595
Skewness14.80391419
Sum3.900963457 × 1012
Variance1.900393329 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:57.595457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2056725562
 
0.1%
14353160002
 
0.1%
26964942
 
0.1%
819796282
 
0.1%
188562432
 
0.1%
11563950002
 
0.1%
3437020002
 
0.1%
1413048672
 
0.1%
-792182152
 
0.1%
37813510002
 
0.1%
Other values (1661)1667
43.4%
(Missing)2158
56.1%
ValueCountFrequency (%)
-98389890001
< 0.1%
-92061550001
< 0.1%
-91295110001
< 0.1%
-85081560001
< 0.1%
-79005720001
< 0.1%
ValueCountFrequency (%)
3.23157 × 10111
< 0.1%
2.44434 × 10111
< 0.1%
1.80358127 × 10111
< 0.1%
1.79380021 × 10111
< 0.1%
1.39152 × 10111
< 0.1%

Lucro/Prejuízo Operacional Líquido
Real number (ℝ)

Skewed 

Distinct3390
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean911343638.5
Minimum-9210593000
Maximum3.1562 × 1011
Zeros3
Zeros (%)0.1%
Negative998
Negative (%)26.0%
Memory size30.2 KiB
2025-10-23T13:24:57.724091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9210593000
5-th percentile-38570374.7
Q1-171183.5
median17596707
Q3145072919
95-th percentile2649755950
Maximum3.1562 × 1011
Range3.24830593 × 1011
Interquartile range (IQR)145244102.5

Descriptive statistics

Standard deviation8565840149
Coefficient of variation (CV)9.39913309
Kurtosis777.4759423
Mean911343638.5
Median Absolute Deviation (MAD)24759828
Skewness25.10752931
Sum3.502293603 × 1012
Variance7.337361745 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:57.850253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
512963452
 
0.1%
197349352
 
0.1%
6753042
 
0.1%
186363952
 
0.1%
223904042
 
0.1%
412528472
 
0.1%
111596592
 
0.1%
-4182162
 
0.1%
32073482
 
0.1%
Other values (3380)3822
99.4%
ValueCountFrequency (%)
-92105930001
< 0.1%
-62680740001
< 0.1%
-43968510001
< 0.1%
-40878520001
< 0.1%
-33770000001
< 0.1%
ValueCountFrequency (%)
3.1562 × 10111
< 0.1%
2.67654 × 10111
< 0.1%
1.41622852 × 10111
< 0.1%
1.41279222 × 10111
< 0.1%
1.30195946 × 10111
< 0.1%
Distinct3351
Distinct (%)87.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1838219592
Minimum-2.096505931 × 1010
Maximum4.70474 × 1011
Zeros28
Zeros (%)0.7%
Negative1388
Negative (%)36.1%
Memory size30.2 KiB
2025-10-23T13:24:57.970612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.096505931 × 1010
5-th percentile-542482649.6
Q1-16087794.5
median18073260
Q3231983935
95-th percentile5152094361
Maximum4.70474 × 1011
Range4.914390593 × 1011
Interquartile range (IQR)248071729.5

Descriptive statistics

Standard deviation1.493350814 × 1010
Coefficient of variation (CV)8.123897823
Kurtosis432.8002288
Mean1838219592
Median Absolute Deviation (MAD)83097328
Skewness18.00296559
Sum7.064277891 × 1012
Variance2.230096653 × 1020
MonotonicityNot monotonic
2025-10-23T13:24:58.095909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028
 
0.7%
26119364
 
0.1%
1291060004
 
0.1%
1429160003
 
0.1%
2451243
 
0.1%
41788780002
 
0.1%
5816733052
 
0.1%
9915892
 
0.1%
5429170002
 
0.1%
4822715712
 
0.1%
Other values (3341)3791
98.6%
ValueCountFrequency (%)
-2.096505931 × 10101
< 0.1%
-1.875064334 × 10101
< 0.1%
-1.4962118 × 10101
< 0.1%
-1.353907489 × 10101
< 0.1%
-1.35145769 × 10101
< 0.1%
ValueCountFrequency (%)
4.70474 × 10111
< 0.1%
3.90742 × 10111
< 0.1%
2.28888 × 10111
< 0.1%
2.15209 × 10111
< 0.1%
2.01373788 × 10111
< 0.1%

Mudança nas Provisões
Real number (ℝ)

Missing  Zeros 

Distinct2044
Distinct (%)96.4%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean201210892.1
Minimum-4501000000
Maximum3.3799926 × 1010
Zeros61
Zeros (%)1.6%
Negative266
Negative (%)6.9%
Memory size30.2 KiB
2025-10-23T13:24:58.210211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4501000000
5-th percentile-5856789
Q1212525
median3835198
Q332517000
95-th percentile708999912
Maximum3.3799926 × 1010
Range3.8300926 × 1010
Interquartile range (IQR)32304475

Descriptive statistics

Standard deviation1366862129
Coefficient of variation (CV)6.793181596
Kurtosis296.5415612
Mean201210892.1
Median Absolute Deviation (MAD)4012138
Skewness15.15562728
Sum4.267683021 × 1011
Variance1.86831208 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:58.340075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
061
 
1.6%
24580002
 
0.1%
1264690002
 
0.1%
39582802
 
0.1%
108948282
 
0.1%
2686960002
 
0.1%
1299660002
 
0.1%
-3195012
 
0.1%
171340382
 
0.1%
46825542
 
0.1%
Other values (2034)2042
53.1%
(Missing)1724
44.8%
ValueCountFrequency (%)
-45010000001
< 0.1%
-21202730001
< 0.1%
-15632201521
< 0.1%
-11221380001
< 0.1%
-10269943331
< 0.1%
ValueCountFrequency (%)
3.3799926 × 10101
< 0.1%
2.6589521 × 10101
< 0.1%
2.3550928 × 10101
< 0.1%
1.7396139 × 10101
< 0.1%
1.3007987 × 10101
< 0.1%

Mudanças no Capital de Giro
Real number (ℝ)

Missing 

Distinct2098
Distinct (%)98.9%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-160323933.7
Minimum-7.494 × 1010
Maximum4.7145 × 1010
Zeros7
Zeros (%)0.2%
Negative1232
Negative (%)32.0%
Memory size30.2 KiB
2025-10-23T13:24:58.465141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7.494 × 1010
5-th percentile-2050122000
Q1-99683924
median-5427647
Q328976000
95-th percentile1027515861
Maximum4.7145 × 1010
Range1.22085 × 1011
Interquartile range (IQR)128659924

Descriptive statistics

Standard deviation3296751292
Coefficient of variation (CV)-20.56306389
Kurtosis191.6583538
Mean-160323933.7
Median Absolute Deviation (MAD)59922155
Skewness-4.434317759
Sum-3.400470634 × 1011
Variance1.086856908 × 1019
MonotonicityNot monotonic
2025-10-23T13:24:58.597486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07
 
0.2%
-9678580002
 
0.1%
357290002
 
0.1%
-2176570002
 
0.1%
-6473182
 
0.1%
-2005300002
 
0.1%
-334046542
 
0.1%
309340002
 
0.1%
-1978757102
 
0.1%
-64284132
 
0.1%
Other values (2088)2096
54.5%
(Missing)1724
44.8%
ValueCountFrequency (%)
-7.494 × 10101
< 0.1%
-4.7946572 × 10101
< 0.1%
-2.6093686 × 10101
< 0.1%
-2.5948342 × 10101
< 0.1%
-2.1714921 × 10101
< 0.1%
ValueCountFrequency (%)
4.7145 × 10101
< 0.1%
3.8383182 × 10101
< 0.1%
3.7367427 × 10101
< 0.1%
2.7626478 × 10101
< 0.1%
2.3467778 × 10101
< 0.1%

Obrigações Fiscais sobre o Lucro do Período
Real number (ℝ)

Skewed  Zeros 

Distinct1704
Distinct (%)44.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean40973841.56
Minimum-95326
Maximum1.6783057 × 1010
Zeros1926
Zeros (%)50.1%
Negative3
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:24:58.715099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-95326
5-th percentile0
Q10
median0
Q33003383
95-th percentile112592900
Maximum1.6783057 × 1010
Range1.678315233 × 1010
Interquartile range (IQR)3003383

Descriptive statistics

Standard deviation447870711.5
Coefficient of variation (CV)10.93064976
Kurtosis867.5699546
Mean40973841.56
Median Absolute Deviation (MAD)0
Skewness27.45252219
Sum1.574624731 × 1011
Variance2.005881742 × 1017
MonotonicityNot monotonic
2025-10-23T13:24:58.844144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01926
50.1%
13357664
 
0.1%
183760294
 
0.1%
5850003
 
0.1%
4370002
 
0.1%
116620002
 
0.1%
5870002
 
0.1%
114716532
 
0.1%
183902
 
0.1%
9700002
 
0.1%
Other values (1694)1894
49.3%
ValueCountFrequency (%)
-953262
 
0.1%
-929681
 
< 0.1%
01926
50.1%
121
 
< 0.1%
781
 
< 0.1%
ValueCountFrequency (%)
1.6783057 × 10101
< 0.1%
1.3768732 × 10101
< 0.1%
1.0502 × 10101
< 0.1%
93770000001
< 0.1%
42717050001
< 0.1%

Outras Despesas Operacionais (-)
Real number (ℝ)

Zeros 

Distinct3257
Distinct (%)84.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-394011748.6
Minimum-9.3764 × 1010
Maximum7199355
Zeros159
Zeros (%)4.1%
Negative3678
Negative (%)95.7%
Memory size30.2 KiB
2025-10-23T13:24:58.968061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9.3764 × 1010
5-th percentile-1077304108
Q1-71016458.5
median-10459757
Q3-1189513
95-th percentile-308.6
Maximum7199355
Range9.377119936 × 1010
Interquartile range (IQR)69826945.5

Descriptive statistics

Standard deviation2907781541
Coefficient of variation (CV)-7.379936135
Kurtosis490.7312072
Mean-394011748.6
Median Absolute Deviation (MAD)10373598
Skewness-19.40389121
Sum-1.51418715 × 1012
Variance8.455193489 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:59.094504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0159
 
4.1%
-353
 
0.1%
-116718592
 
0.1%
-14843302
 
0.1%
-19204662
 
0.1%
-22170002
 
0.1%
-124986312
 
0.1%
-6748002
 
0.1%
-10301662
 
0.1%
-14675272
 
0.1%
Other values (3247)3665
95.3%
ValueCountFrequency (%)
-9.3764 × 10101
< 0.1%
-7.3325 × 10101
< 0.1%
-6.9329 × 10101
< 0.1%
-4.2322675 × 10101
< 0.1%
-3.0562625 × 10101
< 0.1%
ValueCountFrequency (%)
71993551
< 0.1%
13427872
0.1%
3673331
< 0.1%
215481
< 0.1%
2001
< 0.1%

Outras Dívidas
Real number (ℝ)

Skewed  Zeros 

Distinct3099
Distinct (%)80.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean155977810.2
Minimum0
Maximum5.48034025 × 1010
Zeros312
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:59.207626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1173406.75
median1799457
Q314086072.5
95-th percentile283781550
Maximum5.48034025 × 1010
Range5.48034025 × 1010
Interquartile range (IQR)13912665.75

Descriptive statistics

Standard deviation1672132988
Coefficient of variation (CV)10.72032609
Kurtosis631.8931409
Mean155977810.2
Median Absolute Deviation (MAD)1799086.5
Skewness23.06537078
Sum5.994227245 × 1011
Variance2.796028729 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:59.328886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0312
 
8.1%
5915
 
0.4%
11.54
 
0.1%
132855004
 
0.1%
64.54
 
0.1%
9753
 
0.1%
10793
 
0.1%
597917.52
 
0.1%
19692248.52
 
0.1%
1795488.52
 
0.1%
Other values (3089)3492
90.8%
ValueCountFrequency (%)
0312
8.1%
3.52
 
0.1%
52
 
0.1%
10.51
 
< 0.1%
11.54
 
0.1%
ValueCountFrequency (%)
5.48034025 × 10101
< 0.1%
4.9403474 × 10101
< 0.1%
4.2147171 × 10101
< 0.1%
2.54975 × 10101
< 0.1%
2.18295 × 10101
< 0.1%

Outras Obrigações Financeiras
Real number (ℝ)

Zeros 

Distinct390
Distinct (%)10.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4030132.074
Minimum0
Maximum1094908000
Zeros3353
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:24:59.447072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3060424.95
Maximum1094908000
Range1094908000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41624017.4
Coefficient of variation (CV)10.32820181
Kurtosis319.5395935
Mean4030132.074
Median Absolute Deviation (MAD)0
Skewness16.53251467
Sum1.548779756 × 1010
Variance1.732558824 × 1015
MonotonicityNot monotonic
2025-10-23T13:24:59.576921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03353
87.2%
3802611.54
 
0.1%
90324
 
0.1%
55625002
 
0.1%
7745002
 
0.1%
7185365002
 
0.1%
575675002
 
0.1%
4301582
 
0.1%
916950002
 
0.1%
14673912
 
0.1%
Other values (380)468
 
12.2%
ValueCountFrequency (%)
03353
87.2%
222
 
0.1%
159.51
 
< 0.1%
705.51
 
< 0.1%
770.51
 
< 0.1%
ValueCountFrequency (%)
10949080001
< 0.1%
9186655001
< 0.1%
8413220001
< 0.1%
7185365002
0.1%
6008865001
< 0.1%

Outras Receitas Operacionais
Real number (ℝ)

Zeros 

Distinct3318
Distinct (%)86.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean390385369.2
Minimum-754
Maximum5.7949 × 1010
Zeros94
Zeros (%)2.4%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:24:59.695535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-754
5-th percentile16375
Q11808074.5
median13879446
Q393889974.5
95-th percentile1301906303
Maximum5.7949 × 1010
Range5.794900075 × 1010
Interquartile range (IQR)92081900

Descriptive statistics

Standard deviation2312827581
Coefficient of variation (CV)5.924473005
Kurtosis275.9689812
Mean390385369.2
Median Absolute Deviation (MAD)13709204
Skewness14.5173381
Sum1.500250974 × 1012
Variance5.34917142 × 1018
MonotonicityNot monotonic
2025-10-23T13:24:59.821174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
094
 
2.4%
7785482
 
0.1%
93266462
 
0.1%
21011382
 
0.1%
158132
 
0.1%
49547402
 
0.1%
330266342
 
0.1%
13927572
 
0.1%
25139022
 
0.1%
2356312
 
0.1%
Other values (3308)3731
97.0%
ValueCountFrequency (%)
-7542
 
0.1%
094
2.4%
71
 
< 0.1%
191
 
< 0.1%
821
 
< 0.1%
ValueCountFrequency (%)
5.7949 × 10101
< 0.1%
5.5258 × 10101
< 0.1%
4.8391368 × 10101
< 0.1%
3.3194875 × 10101
< 0.1%
3.026 × 10101
< 0.1%

Outras Receitas e Despesas Antes do Imposto
Real number (ℝ)

Skewed  Zeros 

Distinct2045
Distinct (%)53.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean121779975.4
Minimum-9547494000
Maximum5.284 × 1010
Zeros1627
Zeros (%)42.3%
Negative349
Negative (%)9.1%
Memory size30.2 KiB
2025-10-23T13:24:59.935843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9547494000
5-th percentile-2267707.6
Q10
median0
Q36644229.5
95-th percentile339425389.7
Maximum5.284 × 1010
Range6.2387494 × 1010
Interquartile range (IQR)6644229.5

Descriptive statistics

Standard deviation1188158227
Coefficient of variation (CV)9.756597691
Kurtosis1066.801558
Mean121779975.4
Median Absolute Deviation (MAD)115795
Skewness26.84029969
Sum4.680004455 × 1011
Variance1.411719972 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:00.629621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01627
42.3%
217715812
 
0.1%
8269792
 
0.1%
37503912
 
0.1%
133430872
 
0.1%
99708952
 
0.1%
-3696172
 
0.1%
270639412
 
0.1%
-16480522
 
0.1%
379272
 
0.1%
Other values (2035)2198
57.2%
ValueCountFrequency (%)
-95474940001
< 0.1%
-75480330001
< 0.1%
-50005660001
< 0.1%
-39999610201
< 0.1%
-16706840001
< 0.1%
ValueCountFrequency (%)
5.284 × 10101
< 0.1%
2.2522 × 10101
< 0.1%
1.7227224 × 10101
< 0.1%
1.2342884 × 10101
< 0.1%
1.1152043 × 10101
< 0.1%

Outras Receitas/Despesas
Real number (ℝ)

Missing 

Distinct2100
Distinct (%)99.0%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean330856545
Minimum-1.20049351 × 1011
Maximum1.15901 × 1011
Zeros3
Zeros (%)0.1%
Negative791
Negative (%)20.6%
Memory size30.2 KiB
2025-10-23T13:25:00.749626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.20049351 × 1011
5-th percentile-925748083
Q1-11403658
median11167455
Q3161680000
95-th percentile2359859000
Maximum1.15901 × 1011
Range2.35950351 × 1011
Interquartile range (IQR)173083658

Descriptive statistics

Standard deviation5261983101
Coefficient of variation (CV)15.90412274
Kurtosis270.322607
Mean330856545
Median Absolute Deviation (MAD)63544545
Skewness-0.6371252691
Sum7.017467319 × 1011
Variance2.768846615 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:00.871945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
541328092
 
0.1%
1581710002
 
0.1%
-200170002
 
0.1%
2061765342
 
0.1%
200130002
 
0.1%
-584884362
 
0.1%
6796500002
 
0.1%
69137692
 
0.1%
-1350002
 
0.1%
Other values (2090)2100
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-1.20049351 × 10111
< 0.1%
-7.1146 × 10101
< 0.1%
-5.242 × 10101
< 0.1%
-2.1989838 × 10101
< 0.1%
-2.0422135 × 10101
< 0.1%
ValueCountFrequency (%)
1.15901 × 10111
< 0.1%
4.6442 × 10101
< 0.1%
4.2739153 × 10101
< 0.1%
4.1067182 × 10101
< 0.1%
4.0566 × 10101
< 0.1%

Outros Ativos Circulantes
Real number (ℝ)

Skewed 

Distinct3365
Distinct (%)87.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1195905845
Minimum-70782395
Maximum5.98796 × 1011
Zeros35
Zeros (%)0.9%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:25:00.989277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-70782395
5-th percentile25905.8
Q11946759
median13724175
Q376863089.5
95-th percentile1099465100
Maximum5.98796 × 1011
Range5.988667824 × 1011
Interquartile range (IQR)74916330.5

Descriptive statistics

Standard deviation1.969879898 × 1010
Coefficient of variation (CV)16.47186446
Kurtosis694.5298943
Mean1195905845
Median Absolute Deviation (MAD)13504123
Skewness25.67452911
Sum4.59586616 × 1012
Variance3.880426813 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:01.115941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035
 
0.9%
15552022
 
0.1%
8581612
 
0.1%
6945102
 
0.1%
80451112
 
0.1%
11002492
 
0.1%
2152061392
 
0.1%
11862
 
0.1%
287983012
 
0.1%
53642942
 
0.1%
Other values (3355)3790
98.6%
ValueCountFrequency (%)
-707823952
 
0.1%
035
0.9%
122
 
0.1%
472
 
0.1%
1251
 
< 0.1%
ValueCountFrequency (%)
5.98796 × 10111
< 0.1%
5.77845 × 10111
< 0.1%
5.24676182 × 10111
< 0.1%
5.02291638 × 10111
< 0.1%
3.85404 × 10111
< 0.1%

Outros Ativos Não Circulantes
Real number (ℝ)

Zeros 

Distinct2406
Distinct (%)62.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean317579829
Minimum-11440
Maximum7.7981694 × 1010
Zeros1079
Zeros (%)28.1%
Negative9
Negative (%)0.2%
Memory size30.2 KiB
2025-10-23T13:25:01.235908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-11440
5-th percentile0
Q10
median978071
Q326007228.5
95-th percentile549001500
Maximum7.7981694 × 1010
Range7.798170544 × 1010
Interquartile range (IQR)26007228.5

Descriptive statistics

Standard deviation2787950881
Coefficient of variation (CV)8.778740418
Kurtosis383.6092335
Mean317579829
Median Absolute Deviation (MAD)978071
Skewness17.83180784
Sum1.220459283 × 1012
Variance7.772670113 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:01.366302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01079
 
28.1%
-17
 
0.2%
2488957
 
0.2%
15
 
0.1%
504
 
0.1%
232584
 
0.1%
807040164
 
0.1%
10491084
 
0.1%
149761033
 
0.1%
4480003
 
0.1%
Other values (2396)2723
70.8%
ValueCountFrequency (%)
-114401
 
< 0.1%
-21
 
< 0.1%
-17
 
0.2%
01079
28.1%
15
 
0.1%
ValueCountFrequency (%)
7.7981694 × 10101
< 0.1%
6.7734992 × 10101
< 0.1%
5.9824 × 10101
< 0.1%
5.3675498 × 10101
< 0.1%
4.3325 × 10101
< 0.1%

Outros Itens do Patrimônio Líquido
Real number (ℝ)

Zeros 

Distinct2771
Distinct (%)72.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1260429305
Minimum-3.9963136 × 1010
Maximum2.94424 × 1011
Zeros319
Zeros (%)8.3%
Negative434
Negative (%)11.3%
Memory size30.2 KiB
2025-10-23T13:25:01.488253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.9963136 × 1010
5-th percentile-13117519.9
Q11239379
median34771919
Q3283839834
95-th percentile4519279502
Maximum2.94424 × 1011
Range3.34387136 × 1011
Interquartile range (IQR)282600455

Descriptive statistics

Standard deviation8466781388
Coefficient of variation (CV)6.717379032
Kurtosis483.748492
Mean1260429305
Median Absolute Deviation (MAD)35136919
Skewness17.88619393
Sum4.843829821 × 1012
Variance7.168638708 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:01.617016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0319
 
8.3%
22859
 
0.2%
277452637
 
0.2%
77229907
 
0.2%
841107246
 
0.2%
346784086
 
0.2%
133749855
 
0.1%
4968285
 
0.1%
1435260005
 
0.1%
347719195
 
0.1%
Other values (2761)3469
90.2%
ValueCountFrequency (%)
-3.9963136 × 10101
< 0.1%
-3.3504035 × 10101
< 0.1%
-3.3289419 × 10101
< 0.1%
-2.7673329 × 10101
< 0.1%
-2.0205243 × 10101
< 0.1%
ValueCountFrequency (%)
2.94424 × 10111
< 0.1%
1.96862 × 10111
< 0.1%
1.04912512 × 10111
< 0.1%
1.02685 × 10111
< 0.1%
9.8807113 × 10101
< 0.1%

Outros Passivos Circulantes
Real number (ℝ)

Skewed  Zeros 

Distinct3240
Distinct (%)84.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean405719209.1
Minimum-1
Maximum2.25551 × 1011
Zeros187
Zeros (%)4.9%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:25:01.743745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q1772682
median6034794
Q338551600.5
95-th percentile646471939.5
Maximum2.25551 × 1011
Range2.25551 × 1011
Interquartile range (IQR)37778918.5

Descriptive statistics

Standard deviation5731165995
Coefficient of variation (CV)14.12594195
Kurtosis1105.787401
Mean405719209.1
Median Absolute Deviation (MAD)6001914
Skewness31.4313629
Sum1.559178921 × 1012
Variance3.284626366 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:01.868126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0187
 
4.9%
15
 
0.1%
70004
 
0.1%
2851813
 
0.1%
147028232
 
0.1%
38948532
 
0.1%
4197652
 
0.1%
1111590002
 
0.1%
168207682
 
0.1%
414122
 
0.1%
Other values (3230)3632
94.5%
ValueCountFrequency (%)
-12
 
0.1%
0187
4.9%
15
 
0.1%
532
 
0.1%
2871
 
< 0.1%
ValueCountFrequency (%)
2.25551 × 10111
< 0.1%
2.00958 × 10111
< 0.1%
1.4007 × 10111
< 0.1%
5.821 × 10101
< 0.1%
3.7062 × 10101
< 0.1%

Outros Passivos Não Circulantes
Real number (ℝ)

Zeros 

Distinct901
Distinct (%)23.4%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean82016868.78
Minimum-4135308
Maximum2.8337 × 1010
Zeros2792
Zeros (%)72.6%
Negative9
Negative (%)0.2%
Memory size30.2 KiB
2025-10-23T13:25:01.981442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4135308
5-th percentile0
Q10
median0
Q346817
95-th percentile142828200
Maximum2.8337 × 1010
Range2.834113531 × 1010
Interquartile range (IQR)46817

Descriptive statistics

Standard deviation930656490.1
Coefficient of variation (CV)11.34713509
Kurtosis456.316889
Mean82016868.78
Median Absolute Deviation (MAD)0
Skewness19.81595639
Sum3.151908267 × 1011
Variance8.661215025 × 1017
MonotonicityNot monotonic
2025-10-23T13:25:02.105208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02792
72.6%
16
 
0.2%
1435
 
0.1%
5062604
 
0.1%
42762004
 
0.1%
4244
 
0.1%
36480003
 
0.1%
-13
 
0.1%
25193
 
0.1%
3202253
 
0.1%
Other values (891)1016
 
26.4%
ValueCountFrequency (%)
-41353082
0.1%
-28699942
0.1%
-22694341
 
< 0.1%
-5388481
 
< 0.1%
-13
0.1%
ValueCountFrequency (%)
2.8337 × 10101
< 0.1%
2.3254 × 10101
< 0.1%
2.0147 × 10101
< 0.1%
1.6231182 × 10101
< 0.1%
1.4894056 × 10101
< 0.1%

Outros Recebíveis
Real number (ℝ)

Skewed  Zeros 

Distinct3205
Distinct (%)83.4%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean141067884.8
Minimum0
Maximum4.6433 × 1010
Zeros167
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:02.225801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile105
Q190743.25
median1230941.5
Q313539750.75
95-th percentile319620108.4
Maximum4.6433 × 1010
Range4.6433 × 1010
Interquartile range (IQR)13449007.5

Descriptive statistics

Standard deviation1308586159
Coefficient of variation (CV)9.276286807
Kurtosis592.7991976
Mean141067884.8
Median Absolute Deviation (MAD)1229745.5
Skewness21.47109143
Sum5.421238813 × 1011
Variance1.712397735 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:02.351054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0167
 
4.3%
4732.56
 
0.2%
47290.55
 
0.1%
11595
 
0.1%
33144
 
0.1%
754
 
0.1%
826384
 
0.1%
67084
 
0.1%
3321.53
 
0.1%
35413
 
0.1%
Other values (3195)3638
94.6%
ValueCountFrequency (%)
0167
4.3%
4.53
 
0.1%
52
 
0.1%
152
 
0.1%
232
 
0.1%
ValueCountFrequency (%)
4.6433 × 10101
< 0.1%
3.3636 × 10101
< 0.1%
2.32159765 × 10101
< 0.1%
2.24198975 × 10101
< 0.1%
1.7137 × 10101
< 0.1%

Pagamento de Dividendos
Real number (ℝ)

Missing  Zeros 

Distinct774
Distinct (%)36.5%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean-350157114.1
Minimum-5.9812 × 1010
Maximum129525000
Zeros1302
Zeros (%)33.9%
Negative818
Negative (%)21.3%
Memory size30.2 KiB
2025-10-23T13:25:02.489681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.9812 × 1010
5-th percentile-1188467000
Q1-30375001
median0
Q30
95-th percentile0
Maximum129525000
Range5.9941525 × 1010
Interquartile range (IQR)30375001

Descriptive statistics

Standard deviation2624284724
Coefficient of variation (CV)-7.494592051
Kurtosis301.9417448
Mean-350157114.1
Median Absolute Deviation (MAD)0
Skewness-16.09581409
Sum-7.42683239 × 1011
Variance6.886870312 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:02.613329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01302
33.9%
-50000005
 
0.1%
-200000005
 
0.1%
-100000004
 
0.1%
-16000003
 
0.1%
-400000003
 
0.1%
-3000000003
 
0.1%
-300040002
 
0.1%
-6000002
 
0.1%
-178192392
 
0.1%
Other values (764)790
20.5%
(Missing)1724
44.8%
ValueCountFrequency (%)
-5.9812 × 10101
< 0.1%
-4.9446248 × 10101
< 0.1%
-4.911 × 10101
< 0.1%
-4.8763522 × 10101
< 0.1%
-2.5852184 × 10101
< 0.1%
ValueCountFrequency (%)
1295250001
 
< 0.1%
01302
33.9%
-221
 
< 0.1%
-251
 
< 0.1%
-381
 
< 0.1%
Distinct1024
Distinct (%)26.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean71631562.14
Minimum-4201410605
Maximum4.4353 × 1010
Zeros2686
Zeros (%)69.9%
Negative431
Negative (%)11.2%
Memory size30.2 KiB
2025-10-23T13:25:02.737067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4201410605
5-th percentile-2367500
Q10
median0
Q30
95-th percentile60731900
Maximum4.4353 × 1010
Range4.85544106 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1061384262
Coefficient of variation (CV)14.81727091
Kurtosis912.2959783
Mean71631562.14
Median Absolute Deviation (MAD)0
Skewness26.52330964
Sum2.752800933 × 1011
Variance1.126536551 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:02.861232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02686
69.9%
43006594
 
0.1%
1193160002
 
0.1%
805460002
 
0.1%
-148189552
 
0.1%
8412360002
 
0.1%
406360002
 
0.1%
702133712
 
0.1%
337050002
 
0.1%
115330002
 
0.1%
Other values (1014)1137
29.6%
ValueCountFrequency (%)
-42014106051
< 0.1%
-35157070001
< 0.1%
-31723150001
< 0.1%
-31626430001
< 0.1%
-14348130001
< 0.1%
ValueCountFrequency (%)
4.4353 × 10101
< 0.1%
2.0615 × 10101
< 0.1%
1.9733596 × 10101
< 0.1%
1.7856719 × 10101
< 0.1%
1.6157 × 10101
< 0.1%
Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean631562900.9
Minimum-1.547456 × 1010
Maximum1.63003 × 1011
Zeros0
Zeros (%)0.0%
Negative1224
Negative (%)31.8%
Memory size30.2 KiB
2025-10-23T13:25:02.978444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.547456 × 1010
5-th percentile-182945619.5
Q1-2826474
median10273220
Q3101301973.5
95-th percentile2056176265
Maximum1.63003 × 1011
Range1.7847756 × 1011
Interquartile range (IQR)104128447.5

Descriptive statistics

Standard deviation4962611117
Coefficient of variation (CV)7.85766724
Kurtosis472.5457332
Mean631562900.9
Median Absolute Deviation (MAD)29645519
Skewness18.93625823
Sum2.427096228 × 1012
Variance2.46275091 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:03.104073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8342572
 
0.1%
2612372
 
0.1%
-488464372
 
0.1%
-10245182
 
0.1%
165562382
 
0.1%
296238792
 
0.1%
-36564742
 
0.1%
-618086442
 
0.1%
151009252
 
0.1%
20531722
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
-1.547456 × 10101
< 0.1%
-1.1020692 × 10101
< 0.1%
-63436630001
< 0.1%
-55880000001
< 0.1%
-32977380001
< 0.1%
ValueCountFrequency (%)
1.63003 × 10111
< 0.1%
1.13378 × 10111
< 0.1%
1.08176 × 10111
< 0.1%
7.7354421 × 10101
< 0.1%
7.2662 × 10101
< 0.1%

Participações de Não Controladores
Real number (ℝ)

Skewed  Zeros 

Distinct1445
Distinct (%)37.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean509016297.9
Minimum-247566000
Maximum2.28671 × 1011
Zeros2202
Zeros (%)57.3%
Negative304
Negative (%)7.9%
Memory size30.2 KiB
2025-10-23T13:25:03.224568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-247566000
5-th percentile-101355
Q10
median0
Q3857886
95-th percentile371020025.9
Maximum2.28671 × 1011
Range2.28918566 × 1011
Interquartile range (IQR)857886

Descriptive statistics

Standard deviation6655072130
Coefficient of variation (CV)13.07437926
Kurtosis593.9278328
Mean509016297.9
Median Absolute Deviation (MAD)0
Skewness22.54167301
Sum1.956149633 × 1012
Variance4.428998505 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:03.349794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02202
57.3%
24
 
0.1%
58515732
 
0.1%
-37196672
 
0.1%
-24787931.52
 
0.1%
443695002
 
0.1%
710875002
 
0.1%
17802
 
0.1%
88510527.52
 
0.1%
25658740.52
 
0.1%
Other values (1435)1621
42.2%
ValueCountFrequency (%)
-2475660001
< 0.1%
-2358725001
< 0.1%
-2070847031
< 0.1%
-1360697071
< 0.1%
-107329648.51
< 0.1%
ValueCountFrequency (%)
2.28671 × 10111
< 0.1%
1.617175 × 10111
< 0.1%
1.50551 × 10111
< 0.1%
1.21915572 × 10111
< 0.1%
1.045273045 × 10111
< 0.1%

Passivo Fiscal Diferido
Real number (ℝ)

Zeros 

Distinct1920
Distinct (%)50.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean256234086.7
Minimum0
Maximum4.1584 × 1010
Zeros1665
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:03.469704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median528247
Q325186844.5
95-th percentile737699971.4
Maximum4.1584 × 1010
Range4.1584 × 1010
Interquartile range (IQR)25186844.5

Descriptive statistics

Standard deviation1687360490
Coefficient of variation (CV)6.58523037
Kurtosis227.8705538
Mean256234086.7
Median Absolute Deviation (MAD)528247
Skewness13.56305027
Sum9.847075953 × 1011
Variance2.847185422 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:03.591293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01665
43.3%
14456754
 
0.1%
3120004
 
0.1%
18141294
 
0.1%
48902263
 
0.1%
14515802
 
0.1%
84730162
 
0.1%
30232962
 
0.1%
601410002
 
0.1%
32769702
 
0.1%
Other values (1910)2153
56.0%
ValueCountFrequency (%)
01665
43.3%
41
 
< 0.1%
1411
 
< 0.1%
2601
 
< 0.1%
4021
 
< 0.1%
ValueCountFrequency (%)
4.1584 × 10101
< 0.1%
3.0329129 × 10101
< 0.1%
2.9947359 × 10101
< 0.1%
2.7932327 × 10101
< 0.1%
2.7118161 × 10101
< 0.1%

Passivos Circulantes
Real number (ℝ)

Skewed 

Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7476734804
Minimum2703
Maximum2.693843 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:03.707866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2703
5-th percentile619013.5
Q127247762.5
median163780072
Q3927486292.5
95-th percentile1.25806644 × 1010
Maximum2.693843 × 1012
Range2.693842997 × 1012
Interquartile range (IQR)900238530

Descriptive statistics

Standard deviation9.267639674 × 1010
Coefficient of variation (CV)12.39530345
Kurtosis616.927025
Mean7476734804
Median Absolute Deviation (MAD)160400258
Skewness23.9890039
Sum2.873309185 × 1013
Variance8.588914513 × 1021
MonotonicityNot monotonic
2025-10-23T13:25:03.836755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222877832
 
0.1%
309291342
 
0.1%
3311131992
 
0.1%
26324902
 
0.1%
617053762
 
0.1%
310823852
 
0.1%
446191892
 
0.1%
3757090562
 
0.1%
705334592
 
0.1%
727466312
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
27032
0.1%
28561
< 0.1%
78491
< 0.1%
129242
0.1%
143482
0.1%
ValueCountFrequency (%)
2.693843 × 10121
< 0.1%
2.604653 × 10121
< 0.1%
2.350730929 × 10121
< 0.1%
2.346678669 × 10121
< 0.1%
1.888144 × 10121
< 0.1%

Passivos Não Circulantes
Real number (ℝ)

Distinct3382
Distinct (%)88.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2693144011
Minimum0
Maximum4.60395 × 1011
Zeros13
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:03.957037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57092.4
Q16366002
median51392492
Q3420980088
95-th percentile7294603563
Maximum4.60395 × 1011
Range4.60395 × 1011
Interquartile range (IQR)414614086

Descriptive statistics

Standard deviation1.882074783 × 1010
Coefficient of variation (CV)6.988392657
Kurtosis292.7634375
Mean2693144011
Median Absolute Deviation (MAD)51142975
Skewness15.45227727
Sum1.034975243 × 1013
Variance3.542205489 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:04.078914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
0.3%
11961270002
 
0.1%
25996102
 
0.1%
149215482
 
0.1%
1893109542
 
0.1%
1507986282
 
0.1%
172198832
 
0.1%
648904882
 
0.1%
1238316632
 
0.1%
3684732652
 
0.1%
Other values (3372)3812
99.1%
ValueCountFrequency (%)
013
0.3%
2291
 
< 0.1%
4321
 
< 0.1%
5871
 
< 0.1%
9231
 
< 0.1%
ValueCountFrequency (%)
4.60395 × 10111
< 0.1%
4.44835 × 10111
< 0.1%
3.80061 × 10111
< 0.1%
3.25023 × 10111
< 0.1%
3.19239 × 10111
< 0.1%

Passivos de Contratos com Clientes
Real number (ℝ)

Missing  Zeros 

Distinct183
Distinct (%)10.8%
Missing2158
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean119216718.1
Minimum0
Maximum3.5445083 × 1010
Zeros1505
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:04.192517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile174372816.1
Maximum3.5445083 × 1010
Range3.5445083 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1303500781
Coefficient of variation (CV)10.93387574
Kurtosis460.6541486
Mean119216718.1
Median Absolute Deviation (MAD)0
Skewness19.93101086
Sum2.011186034 × 1011
Variance1.699114287 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:04.320522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01505
39.1%
2447209671
 
< 0.1%
1213128861
 
< 0.1%
1604105321
 
< 0.1%
8330895371
 
< 0.1%
13330191751
 
< 0.1%
11246640001
 
< 0.1%
4474150001
 
< 0.1%
5170971891
 
< 0.1%
3020715561
 
< 0.1%
Other values (173)173
 
4.5%
(Missing)2158
56.1%
ValueCountFrequency (%)
01505
39.1%
212981
 
< 0.1%
239731
 
< 0.1%
612921
 
< 0.1%
685001
 
< 0.1%
ValueCountFrequency (%)
3.5445083 × 10101
< 0.1%
2.7515737 × 10101
< 0.1%
1.5329233 × 10101
< 0.1%
1.4629079 × 10101
< 0.1%
1.226998601 × 10101
< 0.1%

Patrimônio Líquido
Real number (ℝ)

Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5412885140
Minimum-3534919246
Maximum9.73506 × 1011
Zeros0
Zeros (%)0.0%
Negative130
Negative (%)3.4%
Memory size30.2 KiB
2025-10-23T13:25:04.452327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3534919246
5-th percentile4305076
Q155667293
median260683007
Q31281898156
95-th percentile1.856312566 × 1010
Maximum9.73506 × 1011
Range9.770409192 × 1011
Interquartile range (IQR)1226230864

Descriptive statistics

Standard deviation3.461618543 × 1010
Coefficient of variation (CV)6.395145017
Kurtosis359.7589519
Mean5412885140
Median Absolute Deviation (MAD)245094427
Skewness16.82853584
Sum2.080171759 × 1013
Variance1.198280294 × 1021
MonotonicityNot monotonic
2025-10-23T13:25:04.580578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-32756422
 
0.1%
122479062
 
0.1%
2423981102
 
0.1%
66865662
 
0.1%
1890764672
 
0.1%
930778932
 
0.1%
378987022
 
0.1%
1237228342
 
0.1%
1089206222
 
0.1%
279024972
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
-35349192461
< 0.1%
-35151102031
< 0.1%
-30058805781
< 0.1%
-26944259391
< 0.1%
-24130517951
< 0.1%
ValueCountFrequency (%)
9.73506 × 10111
< 0.1%
8.58664 × 10111
< 0.1%
6.80012 × 10111
< 0.1%
6.09933 × 10111
< 0.1%
5.56083366 × 10111
< 0.1%
Distinct3392
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4490088506
Minimum-3534919246
Maximum6.79887 × 1011
Zeros0
Zeros (%)0.0%
Negative139
Negative (%)3.6%
Memory size30.2 KiB
2025-10-23T13:25:04.697122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3534919246
5-th percentile3833674.1
Q154082378
median252759266
Q31163497216
95-th percentile1.502167126 × 1010
Maximum6.79887 × 1011
Range6.834219192 × 1011
Interquartile range (IQR)1109414838

Descriptive statistics

Standard deviation2.591528654 × 1010
Coefficient of variation (CV)5.77166497
Kurtosis289.8037124
Mean4490088506
Median Absolute Deviation (MAD)237170686
Skewness14.96285324
Sum1.725541013 × 1013
Variance6.716020765 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:04.826084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-32756422
 
0.1%
122479062
 
0.1%
2198553452
 
0.1%
66865662
 
0.1%
1691684472
 
0.1%
930778932
 
0.1%
379057602
 
0.1%
1564508392
 
0.1%
1089206222
 
0.1%
279024972
 
0.1%
Other values (3382)3823
99.4%
ValueCountFrequency (%)
-35349192461
< 0.1%
-35151102031
< 0.1%
-30057313101
< 0.1%
-27223993731
< 0.1%
-24130517951
< 0.1%
ValueCountFrequency (%)
6.79887 × 10111
< 0.1%
5.86403 × 10111
< 0.1%
5.28635 × 10111
< 0.1%
4.57257 × 10111
< 0.1%
3.65745 × 10111
< 0.1%

Posição Cambial Líquida
Real number (ℝ)

Zeros 

Distinct3082
Distinct (%)80.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-1276115667
Minimum-3.62255 × 1011
Maximum4.8703351 × 1010
Zeros335
Zeros (%)8.7%
Negative2220
Negative (%)57.7%
Memory size30.2 KiB
2025-10-23T13:25:04.945777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.62255 × 1011
5-th percentile-3535266200
Q1-147928036
median-5623087
Q34766315
95-th percentile423534982.3
Maximum4.8703351 × 1010
Range4.10958351 × 1011
Interquartile range (IQR)152694351

Descriptive statistics

Standard deviation1.099227063 × 1010
Coefficient of variation (CV)-8.613851326
Kurtosis447.4380275
Mean-1276115667
Median Absolute Deviation (MAD)37552135
Skewness-18.0639675
Sum-4.904112509 × 1012
Variance1.208300137 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:05.066326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0335
 
8.7%
-113360004
 
0.1%
-768078174
 
0.1%
-101740544
 
0.1%
-64006483
 
0.1%
-822823762
 
0.1%
16257232
 
0.1%
4643162
 
0.1%
-320892222
 
0.1%
160949752
 
0.1%
Other values (3072)3483
90.6%
ValueCountFrequency (%)
-3.62255 × 10111
< 0.1%
-2.49204 × 10111
< 0.1%
-2.02256 × 10111
< 0.1%
-1.77045 × 10111
< 0.1%
-1.73901 × 10111
< 0.1%
ValueCountFrequency (%)
4.8703351 × 10101
< 0.1%
2.5483988 × 10101
< 0.1%
2.4960659 × 10101
< 0.1%
2.4814793 × 10101
< 0.1%
2.2398786 × 10101
< 0.1%

Posição Cambial Líquida (Incluindo Hedge)
Real number (ℝ)

Missing  Zeros 

Distinct2269
Distinct (%)83.4%
Missing1123
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean-930999526.7
Minimum-2.99958 × 1011
Maximum4.8703351 × 1010
Zeros235
Zeros (%)6.1%
Negative1477
Negative (%)38.4%
Memory size30.2 KiB
2025-10-23T13:25:05.184303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.99958 × 1011
5-th percentile-3614719783
Q1-192006123
median-3069320
Q311107945.5
95-th percentile672530750
Maximum4.8703351 × 1010
Range3.48661351 × 1011
Interquartile range (IQR)203114068.5

Descriptive statistics

Standard deviation9488560117
Coefficient of variation (CV)-10.19179908
Kurtosis517.1225734
Mean-930999526.7
Median Absolute Deviation (MAD)60778670.5
Skewness-19.44026113
Sum-2.534180712 × 1012
Variance9.00327731 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:05.315396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0235
 
6.1%
-101740544
 
0.1%
-64006483
 
0.1%
-2386887562
 
0.1%
-29658842
 
0.1%
-60758322
 
0.1%
1530203232
 
0.1%
-2352100292
 
0.1%
-102102592
 
0.1%
60897622
 
0.1%
Other values (2259)2466
64.1%
(Missing)1123
29.2%
ValueCountFrequency (%)
-2.99958 × 10111
< 0.1%
-2.34356 × 10111
< 0.1%
-1.0682 × 10111
< 0.1%
-9.7399898 × 10101
< 0.1%
-8.3644 × 10101
< 0.1%
ValueCountFrequency (%)
4.8703351 × 10101
< 0.1%
2.5483988 × 10101
< 0.1%
2.4960659 × 10101
< 0.1%
2.4814793 × 10101
< 0.1%
2.4662736 × 10101
< 0.1%

Posição Líquida (Ativo/Passivo) Monetária em Moeda Estrangeira
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2260
Distinct (%)83.0%
Missing1123
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean-1660008097
Minimum-8.54997 × 1011
Maximum4.8703351 × 1010
Zeros246
Zeros (%)6.4%
Negative1535
Negative (%)39.9%
Memory size30.2 KiB
2025-10-23T13:25:05.438532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8.54997 × 1011
5-th percentile-4541496220
Q1-234109135.8
median-5493299.5
Q37625878.75
95-th percentile528821446.4
Maximum4.8703351 × 1010
Range9.03700351 × 1011
Interquartile range (IQR)241735014.5

Descriptive statistics

Standard deviation1.897501936 × 1010
Coefficient of variation (CV)-11.4306788
Kurtosis1518.724625
Mean-1660008097
Median Absolute Deviation (MAD)61409870.5
Skewness-35.10855216
Sum-4.518542039 × 1012
Variance3.600513598 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:05.559385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0246
 
6.4%
-101740544
 
0.1%
-64006483
 
0.1%
-39788790002
 
0.1%
-9915852
 
0.1%
1777850002
 
0.1%
-4525122
 
0.1%
-159107272
 
0.1%
-2692132542
 
0.1%
-309664142
 
0.1%
Other values (2250)2455
63.8%
(Missing)1123
29.2%
ValueCountFrequency (%)
-8.54997 × 10111
< 0.1%
-2.21218 × 10111
< 0.1%
-2.12483 × 10111
< 0.1%
-1.28366 × 10111
< 0.1%
-1.17715 × 10111
< 0.1%
ValueCountFrequency (%)
4.8703351 × 10101
< 0.1%
2.9868534 × 10101
< 0.1%
2.4960659 × 10101
< 0.1%
2.4741785 × 10101
< 0.1%
2.3389647 × 10101
< 0.1%

Provisões de Longo Prazo
Real number (ℝ)

Skewed  Zeros 

Distinct2510
Distinct (%)65.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean156869270.3
Minimum0
Maximum3.8351 × 1010
Zeros1067
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:05.679683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2197488
Q322567882.5
95-th percentile390261300
Maximum3.8351 × 1010
Range3.8351 × 1010
Interquartile range (IQR)22567882.5

Descriptive statistics

Standard deviation1423723328
Coefficient of variation (CV)9.075858679
Kurtosis492.5910701
Mean156869270.3
Median Absolute Deviation (MAD)2197488
Skewness20.6726533
Sum6.028486057 × 1011
Variance2.026988115 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:05.812601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01067
 
27.8%
550005
 
0.1%
13493393
 
0.1%
16026852
 
0.1%
50562832
 
0.1%
288422
 
0.1%
13750962
 
0.1%
1348722
 
0.1%
1067192
 
0.1%
48217192
 
0.1%
Other values (2500)2754
71.6%
ValueCountFrequency (%)
01067
27.8%
5871
 
< 0.1%
9621
 
< 0.1%
9781
 
< 0.1%
10871
 
< 0.1%
ValueCountFrequency (%)
3.8351 × 10101
< 0.1%
3.7922992 × 10101
< 0.1%
3.6052138 × 10101
< 0.1%
3.4208 × 10101
< 0.1%
2.4106 × 10101
< 0.1%
Distinct892
Distinct (%)23.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4452421.23
Minimum0
Maximum791701000
Zeros2729
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:05.936680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344008
95-th percentile10370698.2
Maximum791701000
Range791701000
Interquartile range (IQR)44008

Descriptive statistics

Standard deviation38066738.54
Coefficient of variation (CV)8.549671418
Kurtosis286.4544579
Mean4452421.23
Median Absolute Deviation (MAD)0
Skewness16.13665886
Sum1.711065479 × 1010
Variance1.449076583 × 1015
MonotonicityNot monotonic
2025-10-23T13:25:06.066477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02729
71.0%
7029172
 
0.1%
979022
 
0.1%
320752
 
0.1%
303330002
 
0.1%
21190002
 
0.1%
72504282
 
0.1%
132837002
 
0.1%
6008362
 
0.1%
169843392
 
0.1%
Other values (882)1096
28.5%
ValueCountFrequency (%)
02729
71.0%
782
 
0.1%
2291
 
< 0.1%
4321
 
< 0.1%
9231
 
< 0.1%
ValueCountFrequency (%)
7917010001
< 0.1%
7888570001
< 0.1%
7636640001
< 0.1%
6803890002
0.1%
6671480002
0.1%

Provisões para Dívidas
Real number (ℝ)

Skewed  Zeros 

Distinct2913
Distinct (%)75.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean149045161.7
Minimum0
Maximum5.6297631 × 1010
Zeros547
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:06.184900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1169068.5
median2075513
Q316354032.5
95-th percentile357606200
Maximum5.6297631 × 1010
Range5.6297631 × 1010
Interquartile range (IQR)16184964

Descriptive statistics

Standard deviation1499565119
Coefficient of variation (CV)10.06114591
Kurtosis851.2208969
Mean149045161.7
Median Absolute Deviation (MAD)2075513
Skewness26.47811456
Sum5.727805564 × 1011
Variance2.248695545 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:06.309372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0547
 
14.2%
716955
 
0.1%
90015
 
0.1%
8374464
 
0.1%
115523
 
0.1%
500623
 
0.1%
26599462
 
0.1%
69301172
 
0.1%
476342
 
0.1%
18500322
 
0.1%
Other values (2903)3268
85.0%
ValueCountFrequency (%)
0547
14.2%
4951
 
< 0.1%
5362
 
0.1%
5431
 
< 0.1%
6502
 
0.1%
ValueCountFrequency (%)
5.6297631 × 10101
< 0.1%
4.8483896 × 10101
< 0.1%
2.9750908 × 10101
< 0.1%
1.9322 × 10101
< 0.1%
1.8359956 × 10101
< 0.1%

Receita (Despesa) de Imposto Diferido
Real number (ℝ)

Skewed  Zeros 

Distinct2899
Distinct (%)75.4%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean43995667.55
Minimum-1.7758 × 1010
Maximum7.3456 × 1010
Zeros561
Zeros (%)14.6%
Negative1383
Negative (%)36.0%
Memory size30.2 KiB
2025-10-23T13:25:06.427560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.7758 × 1010
5-th percentile-97758281
Q1-743969.5
median0
Q32607407
95-th percentile138537829.9
Maximum7.3456 × 1010
Range9.1214 × 1010
Interquartile range (IQR)3351376.5

Descriptive statistics

Standard deviation1481389345
Coefficient of variation (CV)33.67125509
Kurtosis1615.085552
Mean43995667.55
Median Absolute Deviation (MAD)1559981
Skewness33.12878655
Sum1.690753504 × 1011
Variance2.194514391 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:06.551161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0561
 
14.6%
-26930002
 
0.1%
121494662
 
0.1%
1844652
 
0.1%
15599812
 
0.1%
120177982
 
0.1%
59215092
 
0.1%
-23106942
 
0.1%
695372
 
0.1%
-86502
 
0.1%
Other values (2889)3264
84.9%
ValueCountFrequency (%)
-1.7758 × 10101
< 0.1%
-1.5342953 × 10101
< 0.1%
-1.2601331 × 10101
< 0.1%
-97081790001
< 0.1%
-53623310001
< 0.1%
ValueCountFrequency (%)
7.3456 × 10101
< 0.1%
2.6089347 × 10101
< 0.1%
1.914902 × 10101
< 0.1%
1.1140689 × 10101
< 0.1%
1.079281786 × 10101
< 0.1%
Distinct2942
Distinct (%)76.6%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-112203844.1
Minimum-5.399 × 1010
Maximum7.1716 × 1010
Zeros513
Zeros (%)13.3%
Negative2327
Negative (%)60.5%
Memory size30.2 KiB
2025-10-23T13:25:06.669000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.399 × 1010
5-th percentile-439485000
Q1-15835201
median-820809
Q333820.5
95-th percentile61131829.9
Maximum7.1716 × 1010
Range1.25706 × 1011
Interquartile range (IQR)15869021.5

Descriptive statistics

Standard deviation2196954027
Coefficient of variation (CV)-19.5800246
Kurtosis534.1716818
Mean-112203844.1
Median Absolute Deviation (MAD)4055119
Skewness-1.386834556
Sum-4.311993727 × 1011
Variance4.826606995 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:06.801601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0513
 
13.3%
-225650002
 
0.1%
-31072222
 
0.1%
-67420002
 
0.1%
-3098212
 
0.1%
-20891702
 
0.1%
-63189512
 
0.1%
-1220850002
 
0.1%
-7738872
 
0.1%
-379080612
 
0.1%
Other values (2932)3312
86.1%
ValueCountFrequency (%)
-5.399 × 10101
< 0.1%
-5.0478 × 10101
< 0.1%
-4.0575448 × 10101
< 0.1%
-3.7263662 × 10101
< 0.1%
-3.2 × 10101
< 0.1%
ValueCountFrequency (%)
7.1716 × 10101
< 0.1%
2.6089347 × 10101
< 0.1%
1.8756705 × 10101
< 0.1%
1.1140689 × 10101
< 0.1%
1.079281786 × 10101
< 0.1%

Receita (Despesa) de Imposto do Período
Real number (ℝ)

Skewed  Zeros 

Distinct2145
Distinct (%)55.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-156201223.5
Minimum-4.9564 × 1010
Maximum105677752
Zeros1414
Zeros (%)36.8%
Negative2408
Negative (%)62.6%
Memory size30.2 KiB
2025-10-23T13:25:06.922469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.9564 × 1010
5-th percentile-436596418.9
Q1-16119365.5
median-922602
Q30
95-th percentile0
Maximum105677752
Range4.966967775 × 1010
Interquartile range (IQR)16119365.5

Descriptive statistics

Standard deviation1516145958
Coefficient of variation (CV)-9.706364162
Kurtosis693.2945636
Mean-156201223.5
Median Absolute Deviation (MAD)922602
Skewness-24.32800688
Sum-6.002813021 × 1011
Variance2.298698567 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:07.049961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01414
36.8%
-6770384
 
0.1%
-183760294
 
0.1%
-32731522
 
0.1%
-74301672
 
0.1%
-54753442
 
0.1%
-78475072
 
0.1%
-16249982
 
0.1%
-13381992
 
0.1%
-36127522
 
0.1%
Other values (2135)2407
62.6%
ValueCountFrequency (%)
-4.9564 × 10101
< 0.1%
-4.5179 × 10101
< 0.1%
-4.2691113 × 10101
< 0.1%
-2.7974117 × 10101
< 0.1%
-1.5837467 × 10101
< 0.1%
ValueCountFrequency (%)
1056777521
< 0.1%
111147461
< 0.1%
69288021
< 0.1%
64488581
< 0.1%
49943411
< 0.1%

Receita de Vendas
Real number (ℝ)

Zeros 

Distinct3304
Distinct (%)86.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean9721629419
Minimum-1164758063
Maximum1.760013 × 1012
Zeros98
Zeros (%)2.5%
Negative4
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:25:07.166594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1164758063
5-th percentile3096517.5
Q174797578
median352841243
Q31945558926
95-th percentile3.03784581 × 1010
Maximum1.760013 × 1012
Range1.761177758 × 1012
Interquartile range (IQR)1870761348

Descriptive statistics

Standard deviation6.527399644 × 1010
Coefficient of variation (CV)6.714306175
Kurtosis337.8123334
Mean9721629419
Median Absolute Deviation (MAD)339096659
Skewness16.36909683
Sum3.736022186 × 1013
Variance4.260694611 × 1021
MonotonicityNot monotonic
2025-10-23T13:25:07.297503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
098
 
2.5%
1006720872
 
0.1%
1478511942
 
0.1%
1036025752
 
0.1%
2049524292
 
0.1%
2222882672
 
0.1%
2269262582
 
0.1%
3689233092
 
0.1%
747878122
 
0.1%
1726644912
 
0.1%
Other values (3294)3727
96.9%
ValueCountFrequency (%)
-11647580631
 
< 0.1%
-6740002
 
0.1%
-4928271
 
< 0.1%
098
2.5%
71091
 
< 0.1%
ValueCountFrequency (%)
1.760013 × 10121
< 0.1%
1.611489 × 10121
< 0.1%
1.399472 × 10121
< 0.1%
9.91202993 × 10111
< 0.1%
9.63209409 × 10111
< 0.1%

Receitas Diferidas (Exceto Passivos de Contratos com Clientes)
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1231
Distinct (%)73.0%
Missing2158
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean196611524.5
Minimum0
Maximum5.43415 × 1010
Zeros446
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:07.422490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3281500
Q332765747
95-th percentile544465800
Maximum5.43415 × 1010
Range5.43415 × 1010
Interquartile range (IQR)32765747

Descriptive statistics

Standard deviation1856216582
Coefficient of variation (CV)9.441036518
Kurtosis590.4034955
Mean196611524.5
Median Absolute Deviation (MAD)3281500
Skewness22.8534114
Sum3.316836418 × 1011
Variance3.44554 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:07.549284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0446
 
11.6%
191.54
 
0.1%
722.53
 
0.1%
11802
 
0.1%
18990449.52
 
0.1%
217072192
 
0.1%
260794922
 
0.1%
26075668.52
 
0.1%
700002
 
0.1%
11331
 
< 0.1%
Other values (1221)1221
31.8%
(Missing)2158
56.1%
ValueCountFrequency (%)
0446
11.6%
191.54
 
0.1%
384.51
 
< 0.1%
399.51
 
< 0.1%
526.51
 
< 0.1%
ValueCountFrequency (%)
5.43415 × 10101
< 0.1%
4.14805 × 10101
< 0.1%
2.3431 × 10101
< 0.1%
1.2416521 × 10101
< 0.1%
1.06826375 × 10101
< 0.1%

Receitas Financeiras (Não Operacionais)
Real number (ℝ)

Skewed  Zeros 

Distinct2703
Distinct (%)70.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean377845023
Minimum-36116676
Maximum1.03374 × 1011
Zeros793
Zeros (%)20.6%
Negative4
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:25:07.674338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-36116676
5-th percentile0
Q1155047
median6898927
Q349366693
95-th percentile1005549700
Maximum1.03374 × 1011
Range1.034101167 × 1011
Interquartile range (IQR)49211646

Descriptive statistics

Standard deviation2962429388
Coefficient of variation (CV)7.840329255
Kurtosis555.1754819
Mean377845023
Median Absolute Deviation (MAD)6898927
Skewness20.29484173
Sum1.452058424 × 1012
Variance8.775987879 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:07.805349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0793
 
20.6%
74404562
 
0.1%
8920202
 
0.1%
9074232
 
0.1%
113703842
 
0.1%
473860472
 
0.1%
827325012
 
0.1%
67089172
 
0.1%
9222502
 
0.1%
13759072
 
0.1%
Other values (2693)3032
78.9%
ValueCountFrequency (%)
-361166761
 
< 0.1%
-39915491
 
< 0.1%
-39218441
 
< 0.1%
-36091
 
< 0.1%
0793
20.6%
ValueCountFrequency (%)
1.03374 × 10111
< 0.1%
7.6886 × 10101
< 0.1%
5.5796 × 10101
< 0.1%
3.9892 × 10101
< 0.1%
3.2620625 × 10101
< 0.1%

Receitas de Atividades de Investimento
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1673
Distinct (%)78.9%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean261975959.4
Minimum-7548033000
Maximum5.5375 × 1010
Zeros435
Zeros (%)11.3%
Negative7
Negative (%)0.2%
Memory size30.2 KiB
2025-10-23T13:25:07.922704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7548033000
5-th percentile0
Q140564
median3446370
Q346875000
95-th percentile891777459
Maximum5.5375 × 1010
Range6.2923033 × 1010
Interquartile range (IQR)46834436

Descriptive statistics

Standard deviation1678012956
Coefficient of variation (CV)6.405217333
Kurtosis583.4519922
Mean261975959.4
Median Absolute Deviation (MAD)3446370
Skewness20.1890992
Sum5.556510099 × 1011
Variance2.815727481 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:08.044685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0435
 
11.3%
113810002
 
0.1%
5494910002
 
0.1%
428672892
 
0.1%
40090002
 
0.1%
30002
 
0.1%
4220002
 
0.1%
9479142
 
0.1%
72790002
 
0.1%
81413692
 
0.1%
Other values (1663)1668
43.4%
(Missing)1724
44.8%
ValueCountFrequency (%)
-75480330001
< 0.1%
-4290680411
< 0.1%
-244224921
< 0.1%
-112346511
< 0.1%
-29630021
< 0.1%
ValueCountFrequency (%)
5.5375 × 10101
< 0.1%
2.4191 × 10101
< 0.1%
1.9311143 × 10101
< 0.1%
1.3610745 × 10101
< 0.1%
1.2347885 × 10101
< 0.1%

Reservas Restritas Separadas do Lucro
Real number (ℝ)

Zeros 

Distinct2220
Distinct (%)57.8%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean265898267.7
Minimum0
Maximum3.5691778 × 1010
Zeros204
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:08.165092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1763229
median7897000
Q357826604
95-th percentile1050691496
Maximum3.5691778 × 1010
Range3.5691778 × 1010
Interquartile range (IQR)57063375

Descriptive statistics

Standard deviation1448528515
Coefficient of variation (CV)5.447679398
Kurtosis247.4269215
Mean265898267.7
Median Absolute Deviation (MAD)7860478
Skewness13.59066712
Sum1.021847043 × 1012
Variance2.098234859 × 1018
MonotonicityNot monotonic
2025-10-23T13:25:08.294448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0204
 
5.3%
67215817
 
0.4%
11095914
 
0.4%
118752614
 
0.4%
80814
 
0.4%
65314
 
0.4%
12392014
 
0.4%
3134814
 
0.4%
15086495514
 
0.4%
7342914
 
0.4%
Other values (2210)3510
91.3%
ValueCountFrequency (%)
0204
5.3%
6193
 
0.1%
65314
 
0.4%
80814
 
0.4%
32761
 
< 0.1%
ValueCountFrequency (%)
3.5691778 × 10101
< 0.1%
3.510556 × 10101
< 0.1%
2.4384785 × 10101
< 0.1%
1.8312709 × 10101
< 0.1%
1.8236862 × 10102
0.1%

Reservas de Capital de Emissão de Ações
Real number (ℝ)

Skewed  Zeros 

Distinct688
Distinct (%)17.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean75801722.84
Minimum-345978000
Maximum2.1004764 × 1010
Zeros2224
Zeros (%)57.8%
Negative18
Negative (%)0.5%
Memory size30.2 KiB
2025-10-23T13:25:08.417151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-345978000
5-th percentile0
Q10
median0
Q3589580
95-th percentile166035575.5
Maximum2.1004764 × 1010
Range2.1350742 × 1010
Interquartile range (IQR)589580

Descriptive statistics

Standard deviation687078952
Coefficient of variation (CV)9.064160104
Kurtosis548.4910124
Mean75801722.84
Median Absolute Deviation (MAD)0
Skewness20.82019541
Sum2.913060209 × 1011
Variance4.720774862 × 1017
MonotonicityNot monotonic
2025-10-23T13:25:08.541309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02224
57.8%
95621314
 
0.4%
67500013
 
0.3%
25657812
 
0.3%
752911
 
0.3%
26900011
 
0.3%
16104111
 
0.3%
57277310
 
0.3%
9295710
 
0.3%
8524410
 
0.3%
Other values (678)1517
39.5%
ValueCountFrequency (%)
-3459780002
0.1%
-2396320001
< 0.1%
-537393271
< 0.1%
-537390001
< 0.1%
-537104452
0.1%
ValueCountFrequency (%)
2.1004764 × 10102
0.1%
1.4548374 × 10101
< 0.1%
1.377323 × 10101
< 0.1%
57296310001
< 0.1%
55551940002
0.1%

TOTAL DE ATIVOS
Real number (ℝ)

Skewed 

Distinct3391
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.558276395 × 1010
Minimum2872728
Maximum4.127744 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:08.661442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2872728
5-th percentile19149409
Q1134716969.5
median570330371
Q33125218012
95-th percentile4.093082898 × 1010
Maximum4.127744 × 1012
Range4.127741127 × 1012
Interquartile range (IQR)2990501043

Descriptive statistics

Standard deviation1.395818734 × 1011
Coefficient of variation (CV)8.957452847
Kurtosis539.6253719
Mean1.558276395 × 1010
Median Absolute Deviation (MAD)531350967
Skewness21.75491371
Sum5.988456188 × 1013
Variance1.948309937 × 1022
MonotonicityNot monotonic
2025-10-23T13:25:08.783815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1053447722
 
0.1%
2738194712
 
0.1%
93550412
 
0.1%
27071457622
 
0.1%
55152552
 
0.1%
8171775492
 
0.1%
6137704802
 
0.1%
10916008132
 
0.1%
6261341882
 
0.1%
3458115242
 
0.1%
Other values (3381)3823
99.4%
ValueCountFrequency (%)
28727281
< 0.1%
29573672
0.1%
30685981
< 0.1%
30772952
0.1%
32308562
0.1%
ValueCountFrequency (%)
4.127744 × 10121
< 0.1%
3.908152 × 10121
< 0.1%
3.165265998 × 10121
< 0.1%
3.073678933 × 10121
< 0.1%
2.817316 × 10121
< 0.1%
Distinct3391
Distinct (%)88.2%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.558276395 × 1010
Minimum2872728
Maximum4.127744 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:08.899627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2872728
5-th percentile19149409
Q1134716969.5
median570330371
Q33125218012
95-th percentile4.093082898 × 1010
Maximum4.127744 × 1012
Range4.127741127 × 1012
Interquartile range (IQR)2990501043

Descriptive statistics

Standard deviation1.395818734 × 1011
Coefficient of variation (CV)8.957452847
Kurtosis539.6253719
Mean1.558276395 × 1010
Median Absolute Deviation (MAD)531350967
Skewness21.75491371
Sum5.988456188 × 1013
Variance1.948309937 × 1022
MonotonicityNot monotonic
2025-10-23T13:25:09.022296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1053447722
 
0.1%
2738194712
 
0.1%
93550412
 
0.1%
27071457622
 
0.1%
55152552
 
0.1%
8171775492
 
0.1%
6137704802
 
0.1%
10916008132
 
0.1%
6261341882
 
0.1%
3458115242
 
0.1%
Other values (3381)3823
99.4%
ValueCountFrequency (%)
28727281
< 0.1%
29573672
0.1%
30685981
< 0.1%
30772952
0.1%
32308562
0.1%
ValueCountFrequency (%)
4.127744 × 10121
< 0.1%
3.908152 × 10121
< 0.1%
3.165265998 × 10121
< 0.1%
3.073678933 × 10121
< 0.1%
2.817316 × 10121
< 0.1%

Valores de Caixa no Início do Período
Real number (ℝ)

Missing  Skewed 

Distinct2102
Distinct (%)99.1%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean2581834533
Minimum369
Maximum6.31689 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:09.139026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile128500
Q17311722
median55700417
Q3457463000
95-th percentile7560688000
Maximum6.31689 × 1011
Range6.316889996 × 1011
Interquartile range (IQR)450151278

Descriptive statistics

Standard deviation2.178670294 × 1010
Coefficient of variation (CV)8.438458261
Kurtosis561.7111393
Mean2581834533
Median Absolute Deviation (MAD)55179213
Skewness22.0463862
Sum5.476071044 × 1012
Variance4.74660425 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:09.259392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189398262
 
0.1%
108884112
 
0.1%
17392770002
 
0.1%
3869580002
 
0.1%
372250002
 
0.1%
133893362
 
0.1%
893603622
 
0.1%
1813360002
 
0.1%
830390002
 
0.1%
158669852
 
0.1%
Other values (2092)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
3691
< 0.1%
6051
< 0.1%
11551
< 0.1%
17621
< 0.1%
24881
< 0.1%
ValueCountFrequency (%)
6.31689 × 10111
< 0.1%
5.47205 × 10111
< 0.1%
3.91712 × 10111
< 0.1%
1.40142109 × 10111
< 0.1%
1.28560544 × 10111
< 0.1%

Variação nas Dívidas Financeiras
Real number (ℝ)

Missing  Zeros 

Distinct1739
Distinct (%)82.0%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean575070885.5
Minimum-2.4576089 × 1010
Maximum1.1603143 × 1011
Zeros367
Zeros (%)9.5%
Negative752
Negative (%)19.6%
Memory size30.2 KiB
2025-10-23T13:25:09.378244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.4576089 × 1010
5-th percentile-520018000
Q1-10637033
median0
Q380642300
95-th percentile2511012385
Maximum1.1603143 × 1011
Range1.40607519 × 1011
Interquartile range (IQR)91279333

Descriptive statistics

Standard deviation5096913671
Coefficient of variation (CV)8.863105052
Kurtosis227.0858286
Mean575070885.5
Median Absolute Deviation (MAD)36833700
Skewness12.66378856
Sum1.219725348 × 1012
Variance2.597852897 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:09.506170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0367
 
9.5%
-392843412
 
0.1%
-4511840002
 
0.1%
46782042
 
0.1%
21137672
 
0.1%
462788032
 
0.1%
1772
 
0.1%
-87671842
 
0.1%
-166910002
 
0.1%
-323310002
 
0.1%
Other values (1729)1736
45.1%
(Missing)1724
44.8%
ValueCountFrequency (%)
-2.4576089 × 10101
< 0.1%
-2.4436 × 10101
< 0.1%
-1.8819 × 10101
< 0.1%
-1.6940751 × 10101
< 0.1%
-1.6067457 × 10101
< 0.1%
ValueCountFrequency (%)
1.1603143 × 10111
< 0.1%
9.3353 × 10101
< 0.1%
8.2266917 × 10101
< 0.1%
5.6499 × 10101
< 0.1%
5.3224015 × 10101
< 0.1%

Variação no Caixa e Equivalentes
Real number (ℝ)

Missing  Skewed 

Distinct2103
Distinct (%)99.2%
Missing1724
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean595749312.6
Minimum-5.5918 × 1010
Maximum3.3965 × 1011
Zeros0
Zeros (%)0.0%
Negative840
Negative (%)21.8%
Memory size30.2 KiB
2025-10-23T13:25:09.630517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.5918 × 1010
5-th percentile-512678598
Q1-7217147
median2612322
Q382793108
95-th percentile2408593000
Maximum3.3965 × 1011
Range3.95568 × 1011
Interquartile range (IQR)90010255

Descriptive statistics

Standard deviation8827768930
Coefficient of variation (CV)14.8179255
Kurtosis1037.468325
Mean595749312.6
Median Absolute Deviation (MAD)31045733
Skewness27.76835988
Sum1.263584292 × 1012
Variance7.792950428 × 1019
MonotonicityNot monotonic
2025-10-23T13:25:09.757430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-29203112
 
0.1%
-8494602
 
0.1%
-4735510002
 
0.1%
162300002
 
0.1%
-19268152
 
0.1%
97055982
 
0.1%
-265920002
 
0.1%
450210002
 
0.1%
663290212
 
0.1%
10058160002
 
0.1%
Other values (2093)2101
54.6%
(Missing)1724
44.8%
ValueCountFrequency (%)
-5.5918 × 10101
< 0.1%
-5.1098312 × 10101
< 0.1%
-3.4488 × 10101
< 0.1%
-3.2144516 × 10101
< 0.1%
-2.569299 × 10101
< 0.1%
ValueCountFrequency (%)
3.3965 × 10111
< 0.1%
8.1237223 × 10101
< 0.1%
7.0223 × 10101
< 0.1%
6.9422288 × 10101
< 0.1%
6.0119 × 10101
< 0.1%

Vendas Domésticas
Real number (ℝ)

Skewed  Zeros 

Distinct2454
Distinct (%)63.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5158406858
Minimum-2535905
Maximum1.263918 × 1012
Zeros1049
Zeros (%)27.3%
Negative2
Negative (%)0.1%
Memory size30.2 KiB
2025-10-23T13:25:09.885599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2535905
5-th percentile0
Q10
median111916489
Q3975323340
95-th percentile1.449537894 × 1010
Maximum1.263918 × 1012
Range1.263920536 × 1012
Interquartile range (IQR)975323340

Descriptive statistics

Standard deviation4.164138894 × 1010
Coefficient of variation (CV)8.072528998
Kurtosis511.2193767
Mean5158406858
Median Absolute Deviation (MAD)111916489
Skewness20.84741864
Sum1.982375755 × 1013
Variance1.734005273 × 1021
MonotonicityNot monotonic
2025-10-23T13:25:10.018000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01049
 
27.3%
1415047242
 
0.1%
131747902
 
0.1%
5706457852
 
0.1%
1229559892
 
0.1%
872607092
 
0.1%
21009520002
 
0.1%
1817946332
 
0.1%
5513109402
 
0.1%
617547092
 
0.1%
Other values (2444)2776
72.2%
ValueCountFrequency (%)
-25359052
 
0.1%
01049
27.3%
253462
 
0.1%
554381
 
< 0.1%
851631
 
< 0.1%
ValueCountFrequency (%)
1.263918 × 10121
< 0.1%
1.100932 × 10121
< 0.1%
9.89676 × 10111
< 0.1%
8.28545502 × 10111
< 0.1%
7.50008955 × 10111
< 0.1%

Vendas Internacionais
Real number (ℝ)

Zeros 

Distinct2091
Distinct (%)54.4%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2871957215
Minimum0
Maximum6.6306 × 1011
Zeros1429
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size30.2 KiB
2025-10-23T13:25:10.141785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16269000
Q3218502160
95-th percentile6485213290
Maximum6.6306 × 1011
Range6.6306 × 1011
Interquartile range (IQR)218502160

Descriptive statistics

Standard deviation2.473689684 × 1010
Coefficient of variation (CV)8.613253955
Kurtosis336.0923279
Mean2871957215
Median Absolute Deviation (MAD)16269000
Skewness16.96604993
Sum1.103693158 × 1013
Variance6.119140654 × 1020
MonotonicityNot monotonic
2025-10-23T13:25:10.271748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01429
37.2%
1985698154
 
0.1%
194190004
 
0.1%
209413584
 
0.1%
424196274
 
0.1%
47199540002
 
0.1%
176336622
 
0.1%
8341219662
 
0.1%
14626370002
 
0.1%
36042710002
 
0.1%
Other values (2081)2388
62.1%
ValueCountFrequency (%)
01429
37.2%
2401
 
< 0.1%
14282
 
0.1%
31631
 
< 0.1%
46481
 
< 0.1%
ValueCountFrequency (%)
6.6306 × 10111
< 0.1%
5.10557 × 10111
< 0.1%
4.96095 × 10111
< 0.1%
4.56907894 × 10111
< 0.1%
4.53309 × 10111
< 0.1%